Chatbots belong to a particular domain that mixes computer science, artificial intelligence, and linguistics. Knowing the different concepts encompassing the chatbot field to understand its ins and outs is essential. You will find here a chatbot glossary with essential terms you need to know about chatbot building.

Chatbot glossary with essential terms you need to know - Table of contents

Artificial Intelligence vocabulary

• AI
• Decision Tree
• Deep Learning
• Machine Learning
• Sentiment Analysis
• Turing Test

Chatbot vocabulary

• Autoresponder
• Bot
• Chat Log
• Chatbot
• Chat Widget
• Entity
• Fallback
• Humans in the Loop
• Intent
• Session
• Training
• Typing Delay
• Utterance

Computer science vocabulary

• Algorithm
• Attribute
• Channel
• Embed
• Feature
• Framework
• Integration
• Knowledge Base
• Preprocessing
• Software
• Template
• UX
• Variable
• Webhook

Conversational AI vocabulary

• Context
• Conversational UI
• Flow
• NLP
• NLU
• Small Talk
• Story
• Virtual Agent

Artificial Intelligence Vocabulary

Discover in this category the basic terms and concepts of the artificial intelligence field. This vocabulary is essential to understand how chatbots work.

AI - Artificial Intelligence

The term AI was born in 1950, thanks to Alan Turing. He raised the question of bringing a form of intelligence to machines. AI consists in giving a machine the ability to imitate human intellectual behaviors. This faculty is possible thanks to a set of concepts and technologies.

Decision tree

A decision tree is a graphical tool representing a set of different decisions in the form of a tree. Each decision is located at the end of the tree branches and is reached according to the decisions chosen by the users. The decision tree is an essential algorithm when building a chatbot. It allows the chatbot to respond adequately to user requests.

Deep Learning

Deep learning is a sub-branch of artificial intelligence. This notion designates all the automatic learning techniques that categorize Machine Learning. Machine Learning is based on a set of mathematical approaches that are used to model data.

Deep learning is widely used in several technologies, such as facial recognition or voice recognition. In the case of a chatbot, deep Learning is used so that the machine can adopt the appropriate reaction in a specific situation. Deep Learning works thanks to the neural network that analyzes the given situation.

Machine Learning

Machine Learning is a form of AI capable of making predictions from a database. Machine Learning allows AI to learn and improve its performance according to the data processed.

Sentiment Analysis

Allows identifying the type of emotion that emerges from a dematerialized textual source. It is the natural language processing that enables the chatbot to evaluate the kind of feeling that appears in the user's request.

Turing Test

The Turing test is a proposed test of artificial intelligence with the ability to imitate human conversation. Alan Turing created it in 1950 in his publication Computing machinery and intelligence. This test consists in putting in a verbal confrontation between a human with a computer and another blind human.

If the human who begins the conversation cannot tell who is the computer and who is the human, we can consider that the computer software has won the test. Both the computer and the human will try to have a human semantic appearance. To keep the test simple and universal, the conversation is limited to a textual exchange between the protagonists.

Chatbot Vocabulary

The field of chatbots requires knowledge of the different key concepts. Find the vocabulary you will inevitably be confronted with if you want to start building a chatbot.

Autoresponder

We often implement an autoresponder in a chatbot so that it can generate automatic responses to a message. Thanks to this functionality, chatbots save precious time for companies implementing them.

Example: Call bots are commonly used to automatically reply to customers 24/7, inform about opening hours, or redirect to the right service.

Bot

The word bot is another way to name a robot, chatbot, or voicebot. It defines a computer program that reproduces the actions of a human through artificial intelligence.

Chat Log

The chat log is a database of your chatbot where all the conversations recorded between the chatbot and the user are listed. It allows you to efficiently analyze the different actions of your chatbot to determine its effectiveness. You will be able to improve the functionalities of your chatbot.

Chatbot

A chatbot or conversational agent is a computer program composed of different algorithms. The chatbot uses artificial intelligence to dialogue and answers your users' questions. It is very useful to automate some time-consuming tasks. There are all sorts of use cases where chatbots can be very effective.

Chat Widget

A chat widget is a small window that appears automatically in the corner of your website. It allows you to chat directly with a chatbot or a person in case of need or specific questions about your research on the website. This is a great way to improve the user experience and quality of your site.

Conversational UI - user interface

Creating a conversational interface that is adapted and pleasant for the user. This interface must take into account the UX in order to offer a fluid and easy-to-use service. The conversational UI is, therefore a key issue in the chatbot building since it is the medium on which the chatbot will perform its actions.

Entity

An entity is an element of the conversation that a chatbot will analyze in order to answer the user's request. Don’t confuse intent and entity which are different elements. The entity is a precise characteristic contained in the request, the primary need of the user.

Example:
If the user asks: “Where can I find the best restaurant in New York?”, here "the best restaurant" is the intent, and "in New York" is the entity.

Fallback

The fallback occurs when the chatbot has not understood the question asked by the user. In this situation, it is possible to create an alternative answer that expresses to the user to reformulate his question. The chatbot will better understand it.

Humans in the loop

This is the moment when a user wants to chat with a human after his conversation with the chatbot. In this case, the chatbot redirects the user to a physical person who is better able to handle the user's request, via a livechat platform. f

Intent

An intent is the final motivation required by a user when addressing the chatbot. It is the purpose of the question asked by the user.

Example:
"What is the best beach to surf?"
The user's intention describes his primary interest is to find a beach. The chatbot will analyze his request thanks to the entity contained in the question which is "to surf".

Session

A chat session represents the time elapsed during a conversation between a user and a chatbot. It starts when a conversation with a chatbot begins and ends when the conversation is over.

Training

Training is an essential step in the development of your chatbot. It is used to evaluate your chatbot's efficiency and the relevance of its answers. Thanks to this step, you will be able to improve your chatbot's answers and interactions.

Typing delay

A typing delay is a chatbot’s component visible on the conversational interface by the user. It makes the conversation with the chatbot more realistic and natural for the user. The typing delay indicates to the user that the chatbot is processing his request.

Utterance

An utterance is the content of the request made by the user to the chatbot. It allows the chatbot to identify the keywords of the request in order to respond appropriately.

Computer Science Vocabulary

IT is now an integral part of our daily lives. Some of the terms in this list do not only apply to chatbots. They apply to IT in general. Understanding the basic vocabulary of this field is important to get into the chatbot business.

Algorithm

An algorithm is a sequence of steps allowing to obtain a result from its steps. Chatbots are composed of several algorithms such as NLP or decision trees.

API - application programming interface

It is a software interface that allows different software or services to be connected together. In this way, the two entities can exchange a certain number of functionalities and data.

It is possible to connect a chatbot to a very large number of APIs depending on the chatbot's characteristics and the chosen target.

Attribute

In computer science, an attribute is an identifier that describes information stored in a database. Each attribute is linked to a specific domain. A chatbot is composed of several attributes that aim to improve the user experience.

Channel

A channel is a broadcast and communication platform on which you can deploy your chatbot. It is important to know which channel your chatbot will be most useful to reach and target your audience.

Embed

We talk about embedding when a chatbot is an integral part of the structure of a website. You can deploy your chatbot on specific pages of your site. In this way, the conversational window of your chatbot will be activated according to the page of the website where the user is located.

Feature

Features are all the components available when building your chatbot. They are elements that make the chatbot more efficient and effective.

Example of features for an efficient chatbot:

• multilanguage
• sentiment analysis
• personalization
• easy integration with different APIs
• and many others

You can discover more about the CSML features by reading our documentation.

Framework

A framework is a set of software components aimed at creating a structure, a software’s architecture. It is the whole of software or an application.

Integration

An integration is an operation consisting in including software (specific development or software package) or any IT element in a company's information system. External applications are often integrated into chatbots.

Knowledge base

It defines the chatbot database. It’s the chatbot's memory, this knowledge allows it to answer a request in a precise way. The knowledge base can be improved regularly to make the chatbot more efficient.

Preprocessing

A program that performs transformations on a source code before the compilation stage (this is called a pre-compiler) or the actual interpretation stage.

Software Integration

Software integration is about connecting and linking several different software components.

Template

A template is a basic model that can be used in different areas. It makes website creation easier. The notable advantage of the template in computer science lies in the fact that it is not necessary to know how to code since it is composed of pre-existing lines of code.

UX - user experience

Refers to the experience of a user during an interaction. The UX is managed by a UX designer who makes the interactions of a site fluid and accessible so that the user's path is logical and pleasant.

Variable

A variable represents a specific value for each user. Variables allow your chatbot to identify and recognize a specific user in order to personalize the conversation between the two interlocutors.

Example of a variable:

• Age
• Name
• Address
• Language
• Country
• ...

Webhook

The webhook is a web anchor. It allows sending a notification when an event occurs. Thanks to the notifications, the system is automatically updated.

Example: A consumer buys a product on your site and you automatically generate an invoice.

Conversational Artificial Intelligence Vocabulary

Conversational artificial intelligences are present in many professional fields. We have gathered here the key vocabulary to understand their specificities.

Context

When using a chatbot, the context allows it to identify the type of answer it should provide to the user according to the question asked. It can then efficiently direct the user to the most appropriate answer.

Conversational UI - user interface

Creating a conversational interface that is adapted and pleasant for the user. This interface must take into account the UX in order to offer a fluid and easy-to-use service. The conversational UI is therefore a key issue in the chatbot building since it is the medium on which the chatbot will perform its actions.

Flow

The flow determines how a conversation between a chatbot and a user will unfold. Flows model conversations and the direction they will take. The flow must be natural and fluid to guarantee a good chatbot’s understanding by the user. It is a script that directs the conversation.

NLP - natural language processing

NLP brings together different fields such as linguistics, computer science, and AI. These three fields aim at processing natural language. It is an essential element in the chatbots sector and more generally in artificial intelligence. With the help of NLP, chatbots are more efficient and able to interpret human language.

NLU - natural language understanding

Natural language understanding (NLU) is related to natural language processing (NLP) technologies. Its goal is to understand the meaning of a text as a whole. It focuses on improving the ability of machines to understand the overall meaning behind words and in texts.

Small talks

Small talk is the first part of the contact between the chatbot and the user. It is a step that must be light and pleasant in order to establish a climate of trust between the chatbot and the user. It also aims to make the chatbot friendly.

Story

A story is a scenario between the chatbot and the user. It consists of several pre-designed interactions. This term is also regularly called user story.

Virtual agent

A virtual person who uses the AI to dialogue with a user, generally in one on one.

Conclusion

There are many other terms specific to the use and construction of a chatbot. The vocabulary presented in this article is a first approach to understanding the uses of a chatbot. These are the terms you will find most often in this field of activity.

Whether on Microsoft Teams, Messenger, or WhatsApp, it’s important to know where you can reach your audience with a chatbot! You need to define your target audience to know what type of channel your audience is most likely to be on. You have to choose a limited number of channels depending on your industry to optimize the effectiveness of your chatbot. You can then analyze different KPIs to know the efficiency of your chatbot according to the chosen channel. In this article you will get an overview of different messaging platforms where you can deploy a chatbot and reach your audience:

• Messaging Apps for Enterprises
• Messaging Apps for Communities and Social media
• Mobile Messaging Apps

Enterprise Messaging Apps for Employees

Nowadays, communication in companies goes a lot through professional messaging. Deploying a conversational agent on these channels is interesting to collect the opinions of your employees, answer recurring questions or automate specific actions. Setting up a chatbot on a messaging channel can help you communicate with your audience.

Integrate Chatbot with Microsoft Teams

In 2019, Microsoft Teams had 13 million users! It is one of the most used communication channels for businesses. Setting up a Microsoft Teams chatbot can help you make communication with your employees and collaborators more fluid and efficient.

You can for example use a Microsoft Teams chatbot in your company to find work documents through Office 365, ask for leaves or even download your payslip.

Integrate Chatbot with Slack

Widely used by startups, Slack is also a good way to communicate between employees and external providers. You can deploy a Slack chatbot that could help you gauge employee motivation at the start of each day, asking if they are feeling good about their workload or the atmosphere between colleagues!

Internal Chatbot deployed on a native app or Intranet portal

HR chatbots are increasingly used within companies in order to help support teams answer frequently asked questions. These HR chatbots can be deployed in the HRIS portals for optimal visibility and accessibility.

For example, RHD2 (fr), the HR chatbot for SNCF (French rail transport service) answers approximately 20,000 questions from employees each month.

Integrate Chatbot with Workplace by Meta

Workplace is a platform also widely used in companies! It is an easy-to-use messaging platform that allows employees to stay in touch. Companies using this platform can deploy a Workplace chatbot, which could be useful for HR Support.

You can easily add CSML chatbots directly from Workplace by Meta integrations library.

Community and Social Media Messaging Apps for Companies

It is essential for a company to be present on social networks to inform and exchange with its community. It's a great way to develop your audience and make it grow. You can deploy your chatbot on different networks tailored to your audience.

Your chatbot will allow you to better understand your community while creating a relationship with it. You can also automate recurring answers asked by your community. Your AI chatbot will allow you to analyze for example the relevance of your community and its engagement rate!

Integrate Chatbot with Instagram

Instagram is one of the most used applications and messaging platforms where you can deploy a chatbot.  If you have a large community, the number of DMs can be significant! You can set up a conversational assistant to answer your customers' questions in DM. This way you can improve their experience and their loyalty.

Integrate Chatbot with Messenger Chatbot

Using a Messenger Chatbot is one of the most common practices for many companies. This messaging platform commonly used for chatbots is essential for developing customer support. You will be able to offer an optimized experience for your customers while keeping proximity with them. You can also collect feedback from your customers easily!

Integrate Chatbot with Slack or Discord

There are many categories of chatbots you can set up on Slack or Discord for your community. In order to keep a friendly community and avoid outbursts, you could set up a moderation chatbot, such as Mee6. This way you can keep control of the content posted on your Slack or Discord and guarantee a safe space for your users.

Mobile Messaging Apps for Companies Chatbots

Mobile phones are a daily tool on which we spend several hours a day. Whether it's to chat, shop, or entertain ourselves. Your customers regularly use different mobile messaging applications.

This is a great way to target and reach them with a chatbot. Indeed, you can deploy your AI chatbot on various messaging applications depending on your business sector and offer different services to your customers.

Integrate Chatbot with WhatsApp

WhatsApp is one of the most used mobile messaging platform.

Any customer with a smartphone is likely to be interested in your services regardless of the use case. Companies are frequently contacted via WhatsApp by customers who need an immediate answer. That’s why deploying a WhatsApp chatbot answering 24/7 is a good strategy to improve your business.

Integrate Chatbot with Telegram

Perfect for companies that want to guarantee the security of their users with encrypted messaging. Your customers will be able to enjoy the benefits of your chatbot while feeling safe during their conversations.

Integrate Chatbot with WeChat

In the same way as WhatsApp, Wechat is widely used by Chinese companies for chatbot building and creation. You will be able to reach your target easily if your customers are living in China.

Deploy SMS Chatbot or Callbot

Widely used for the automation of customer support services. This is a very practical and popular use nowadays. This makes it possible to provide 24/7 customer service. Moreover, your customer will be more likely to respond to a chatbot by SMS thanks to notifications that are more visible on the phone.

Website or Mobile App Chatbots

One of the first places you can deploy a chatbot is on a website. Indeed, a conversational agent can bring real added value to your business. It can be very useful for lead generation or to collect reviews in the context of an e-commerce site. You can integrate your chatbot with WordPress for example or any other CMS. There is a multitude of chatbot use cases that could be useful and improve your website performance.

WhatsApp, Messenger Chatbot... Where to reach my audience? One last tip...

There are many other ways to use your chatbot to reach your audience, here we have listed the most relevant possibilities. It's up to you to choose the channels where to broadcast your chatbot according to your sector of activity and the habits of your audience. WhatsApp, Messenger Chatbot... Where to reach my audience? Now you have all the keys!

CSML has been designed so that you only have to develop your chatbot once. Once created, you can deploy it wherever you want within a few clicks. Whether it's on your website, on your mobile app, via your API or webhook, or on any of the other messaging platforms shown here!

Want to build your chatbot right away and deploy it to your favorite channels?
Let’s go!

Measuring and recognizing relevant KPIs are extremely important challenges for companies across all industries. Nowadays, many companies are using chatbots as a very good way to retain and attract new customers.

A chatbot is a channel that needs to be analyzed to know if its use is relevant to your business strategy. You can use the data-driven strategy which is making strategic decisions based on data analysis and interpretation.

In this article, you will be able to find 25 relevant KPIs to analyze your chatbot effectiveness.

Number of Users

The number of users over a given time period is one of the most essential chatbot KPIs to track. It allows you to know how many people have initiated a conversation with the bot, regardless of their initial motivation.

You can compare the total number of users with the sales volume or the total request number handled by all customer service channels. Thanks to this you will get a better idea of the efficiency and tools' visibility.

Number of Messages

The number of messages has to be calculated over a given period. You can set it on a daily, weekly, or monthly basis depending on your needs and your activity. This data allows you to evaluate over which period your conversational assistant has been the most solicited by users.

Conversation Duration

The number of interactions between the bot and each user (total number of incoming and outgoing messages from the beginning to the end of the conversation) as well as the total duration of the exchange are excellent quality indicators of a customer service chatbot, and make it possible to determine whether the conversation has been useful or not.

Activation Rate

Activation rate refers to the proportion of exchanges in which the user will send the bot a message relevant to your business objectives.

Example:

A conversational agent designed to provide weather information will have completed its task when its interlocutor communicates its geographical location.

Retention Rate

The retention rate is the proportion of users who will use your conversational agent several times in a given period of time, which will vary depending on your industry and your priorities. It’s one of the most used KPIs for chatbots.

Goal Competition Rate (GCR)

The GCR is an indicator that measures the impact of the chatbot on the company's marketing and sales objectives. Some specific requests have a stronger interest in the company than others.

Example:

A purchase intention or customer loyalty.

Confusing Rate

It can happen that your chatbot is caught off guard by a request that it has not fully understood.

This rate can be reduced by improving the programming and training of the bot before it is put into service and throughout its service life.

Engaged Users or Engagement Rate

Engaged users or engagement rate represents people who have repeated sessions over a specific time period. Measuring this KPI metric lets you know how much your users appreciate your chatbot. This key performance indicator is essential for companies deploying chatbots for internal use. The goal is that the indicator increases to demonstrate the AI chatbot's effectiveness.

New Users

This key metric is essential in many industries. It allows you to see if your new user rate is increasing or not. By analyzing this metric you will be able to know if the popularity of your chatbot is growing.

Chat Volume or Sessions

The number of successful sessions or conversations completed within a given time between your chatbot and your users. You can set the period you want to analyze.

Average Daily Sessions

This key indicator allows you to know how many times per day your users start a conversation with your chatbot.

Total Conversations

This indicator is fairly self-explanatory. It is important to know the total number of conversations in a given period to measure the use of a chatbot. A conversation includes many messages between a user and a chatbot, from beginning to end.

Chatbot Response Time

The chatbot response time indicator lets you know how quickly your chatbot is able to respond to your user. For a more natural conversation, it is important that your chatbot pauses between each answer. You can improve the response speed if you think they are too fast or too slow.

Most Frequently Asked Questions

By analyzing the most frequently asked questions you can improve your chatbot's knowledge and ability to recognize the same question with different formulations. You will be able to make an inventory of the most asked questions in order to improve your chatbot and its efficiency.

Customer Satisfaction Rate

This key measure is very important. It allows you to know the strengths and weaknesses of your conversational agent according to your customer. This is a good way to understand how useful your chatbot is and to help you improve your user experience.

Number of Questions during a Conversation

Your user may ask different questions during a conversation with your chatbot. It is important to identify some relevant questions that may lead to other questions. You will also be able to know if your chatbot can answer a question or if your user had to ask it several times before getting the desired information.

Usage Rate per Opening

The usage rate per opening is an essential KPI. You can know if your users are actually using your chatbot or not. After the comparison, you can analyze your usage rate and your open rate.

Report Rate

The report rate allows you to analyze the number of users who reported a question not answering what they asked or dysfunction in the chatbot.

Missed / Failed Utterances

Failed utterances let you improve your chatbot by perfecting the statements. This way the language of your chatbot will be perfected and more natural, and it will be better understood by your users.

Human Takeover Rate

You can analyze the number of human takeovers requested by your users. This allows you to know with which types of conversations your users or your chatbot have encountered difficulties in understanding.

Conversion Rate

The conversion rate allows you to calculate the ratio between your number of visits and the number of conversions. These metrics allow you to define your performances according to the defined objectives and also to follow the evolution of your turnover.

Click Rate

Measuring the click rate lets you know how many users clicked on a specific button or link through your chatbot. A good way to know how useful are the features you’ve implemented in your chatbot.

Net Promoter Score (NPS)

NPS allows you to know the satisfaction rate of your customers, by asking them if they would recommend your service to other people. With a chatbot, you can ask your customers this question at the right time to know if they appreciate your company.

Reply / Response Rate

This key performance indicator helps you to know if your conversational assistant could answer a user question or not. It is an essential metric to know if your chatbot is well trained and well configured.

Average Cost per User

The cost per user depends on the financial means you have put in place to meet your objectives.

Example:

Measure the effectiveness of a paid ad campaign sending users to your chatbot.

Average Shopping Cart

This KPI corresponds to the price of the average user’s basket realized thanks to your chatbot. This indicator is interesting to track if you are using a chatbot for an ecommerce activity.

To Conclude

There are many more than 25 relevant KPIs to analyze your chatbot effectiveness. You can integrate applications such as Google Analytics to collect interesting KPIs directly from your chatbot.

Keep in mind that a chatbot is a great channel to help you understand your customers or users and achieve your goals. You can apply other KPIs depending on your business activity and thus improve it.

In the last decade, more and more services have opened their APIs to integrate their systems with other third-party applications. The web is becoming interconnected and services providing external integrations offer many opportunities. Whether it is for data collection, task automation or user experience improvement, it is now possible to create powerful applications with infinite possibilities, gathering strengths of several applications into one!

That's what conversational technologies are all about. Next generation chatbots are the ideal solution to offer a seamless customer journey, an unparalleled hyper contextualization and a significant simplification of processes thanks to their interoperability.

It is now even easier to make any application conversational thanks to technologies like CSML. This way, the chatbot becomes a communication channel that fits perfectly into business strategies.

Whatever your use cases are, you can improve your conversational assistant with many integrations! Here are over 100 best integrations for your chatbot with CSML Studio.

📊 Analytics

There are plenty of useful KPIs to measure the efficiency and profitability of your chatbot! With CSML Studio, you can integrate different analytics services with your chatbot to better understand how your visitors use your chatbot or even how many reach your conversion goals.

Analytics Chatbot Integration Examples

• Amplitude Analytics
• Google Analytics

⚙ ️Automation

Automation is one of the most important asset within companies. Indeed, automation allows us to save time and optimize it. Chatbots are one of the easiest ways to perform tasks automatically. They are also the perfect channel to save user information, send requests to webhooks and automate your workflows.

Automation Chatbot Integration Examples

• IFTTT
• Integromat
• Zapier

🗓 Calendar

AI Virtual Assistants are also able to check availability in calendars and schedule meetings! Mostly used by SaaS companies to let users book demonstrations with their sales team, they’re also a good way in companies to schedule meetings between employees, check availabilities for a room or for example ask for an appointment with the head of HR.

Calendar Chatbot Integration Examples

• Google Calendar for Google Workplace

👨‍💻 CMS

Most services and websites are made with CMS. So your chatbot may need to connect to it securely and easily in order to provide information to your users. It is also pretty simple to embed your chatbot into your Wordpress website.

CMS Chatbot Integration Examples

• Strapi

💻 Compute

Compute services, such as our partner AWS, are now widely used. Even if your chatbot has many integrations, you may need it to perform advanced and sensitive tasks on hosted servers. With CSML, you can trigger your own functions directly from your chatbot.

Compute Chatbot Integration Examples

• AWS Lambda
• Azure functions
• Google Cloud  functions

🎥 Conference

Videoconferencing services are now widely used for meetings and online events. Chatbots are now able to schedule meetings or register an attendee to a webinar, integrate them into a calendar and also generate a videoconferencing link automatically.

Conference Chatbot Integration Examples

• Jitsi
• Zoom

👤 Customer Relationship Management

Connect your chatbot to your CRM solution to close more sales and help more customers. You'll be able to connect to your contacts and businesses easily. For example, you can use Salesforce which allows you to track the entire customer journey.

CRM Chatbot Integration Examples

• Hubspot CRM
• Salesforce

Custom Code

Connect your chatbot to your CRM solution to close more sales and help more customers. You'll be able to connect to your contacts and businesses easily. For example, you can use Salesforce which allows you to track the entire customer journey.

CRM Chatbot Integration Examples

• Hubspot CRM
• Salesforce

🗳 Database

Most chatbots need to manage, collect, update and fetch data into databases. Whether it is to retrieve product information, register new user data, record statistics or update customer information, the use of databases is essential when your conversational agent needs to process a large amount of information.

Database Chatbot Integration Examples

• Airtable
• Amazon Dynamodb
• Firebase
• Mongo DB
• MySQL
• Notion
• Postgre SQL

🧑‍💻 Dev

Your chatbot can help you make your documentation accessible quickly. Integrate for example GitHub to your chatbot so your users can find all the technical programming information they need.

Developers Chatbot Integration Examples

• GitHub

🛒 E-Commerce

Chatbots are a real opportunity for online shops to optimize their sales. They let visitors get more information about products and returns, track deliveries, or even reach a human for customer support. Integrate your chatbot with your ecommerce platform in a few clicks with CSML Studio!

Ecommerce Chatbot Integration Examples

• Amazon
• Klevu
• Shipup
• Shopify

✉️ Email

In many cases, chatbots need to be able to send emails, for example to verify identity, trigger an email campaign or recover a password. CSML includes a native SMTP client to let you send emails from your chatbots but also many email automation integrations.

Email Chatbot Integration Examples

• Amazon SES
• Sendinblue
• SMTP

🌐 ERP

Many chatbots are helping automating business processes in large companies equipped with ERP solutions. You can connect your chatbot to your enterprise resource planning application in order to automate workflows and create great conversational experiences with your users.

ERP Chatbot Integration Examples

• Oracle Peoplesoft

❓ FAQ

Many companies are using Q&A chatbots and integrating their knowledge bases into them. Whether you use an intent tree chatbot or a chatbot with NLP, they are generally more effective than traditional FAQ web pages because they make it easier to get answers quickly if they are well configured.

FAQ Chatbot Integration Examples

• Clevy FAQ

🗂 File Management

All companies use cloud-based storage solutions. Especially for internal use, it is essential that chatbots can connect to the drive to retrieve documents, or let users upload their own files. Easily browse and share your various documents directly from your chatbot with our integrations!

File Management Chatbot Integration Examples

• Amazon S3
• Box
• Dropbox
• Google Drive
• Onedrive

🎮 Game

Do you want to create an entertaining chatbot? Did you know that you can integrate gaming platforms into it? Let your users find new game ideas or even find games in common with their friends with this Steam integration.

Game Chatbot Integration Examples

• Steam

🙍‍♂️ HR

Chatbots are very useful in HR departments in companies. They allow you to automate answers to frequently asked questions, facilitate access to internal information for employees and allow managers to save time and focus on more value-added tasks. Now able to connect to various HRIS and the entire HR ecosystem of companies, they are a key element of HR strategies.

Need more information about HR chatbots? It’s the speciality of our company Clevy! Let’s meet us!

HR Chatbot Integration Examples

• ADP
• EVA by Clevy
• Cornerstone
• Horoquartz eTemptation
• Lumapps
• Neocase
• PeopleDoc ECM
• PeopleDoc EFM
• SAP SuccessFactors
• Sopra HR Access
• Talentsoft
• Workday
• Workplace

🌅 Image

No more need for Photoshop, Figma or Canva if you want to make a photo montage easily! CSML Chatbots do the job for you! Install this integration in a few clicks and let your users add frames and text to their photos to share them with their friends.

Want to try it by yourself? Try out our chatbot KittyBombing and add funny kitties to your photos 😺

Image Chatbot Integration Examples

• Picture frame
• Picture writer

📁 IT Service Management, Ticketing

Project management and ticketing tools are commonly used in companies. Chatbots are also often used for technical support. That’s why a chatbot may need to be able to connect to internal tools, for example to let its users create and send tickets directly from your chatbot!

ITSM Chatbot Integration Examples

• Gorgias
• Jira
• ServiceNow Catalog
• ServiceNow Ticketing
• Zendesk Tickets

🎧 Livechat

Chatbots are able to handle increasingly complex tasks, but they still don't have the answer to everything! The advantage is that they can qualify users' needs before letting them chat with a real human. By integrating a live chat platform, your users can also talk to you directly from the chatbot interface.

Livechat Chatbot Integration Examples

• Front
• Intercom
• Gorgias
• Chatwoot

📢 Marketing

Need to improve the management of your marketing tools? With CSML you can connect multiple integrations to build a marketing chatbot that can help you manage your various marketing campaigns and much more. Create your marketing bot to easily retrieve the data you need and deliver even more targeted campaigns.

Marketing Chatbot Integration Examples

• Active Campaign
• Convomat
• Klavyio
• MailChimp
• Livestorm
• Pipedrive
• Subscribers (CSML Utilities)

🖥 Media

Need to improve the user experience of your chatbot?  Your conversational agent can send animated gifs to your users with apps like Giphy! CSML Studio also includes a content delivery network on which you can easily upload your own animated gif, videos and documents.

Giphy Chatbot Integration Examples

• Giphy

💬 Messaging

Instant messaging platforms have become an integral part of our means of communication. Whether it is to chat with friends, family or colleagues at work, we use them every day. That's why integrating chatbots on messaging platforms makes sense for any company that wants to reach its audience where they are. With CSML Studio, you can deploy your chatbot on all the channels you want, without the need to create multiple versions.

Channel Messaging Chatbot Integration Examples

• Web Chat
• Messenger Chatbot
• Workplace Chat by Meta
• Instagram Chatbot
• Slack Chatbot
• Telegram Chatbot
• Microsoft Teams Chatbot
• Telegram Chatbot
• Callbot
• SMS Chatbot
• Twilio Chatbot
• WhatsApp Chatbot
• Google Chat Chatbot
• Amazon Alexa Chatbot
• Google Assistant Chatbot
• WeChat Chatbot
• Discord Chatbot
• Viber Chatbot
• Rocket.chat Chatbot
• Wordpress Chatbot
• Custom Chatbot API Service

🎬 Movies

What are we watching tonight? This is the eternal question that can sometimes cause arguments in your household. Why not ask a chatbot to help you choose your movie or series? After a few personalized questions your chatbot will be able to send recommendations that will put everyone in agreement!

Movies Chatbot Integration Examples

• Netflix Catalog

🎼 Music

Are you tired of listening to the same playlists over and over again? You can diversify your playlists and discover new artists by creating a chatbot connected to your favorite music applications! All you have to do is tell it the musical mood of your choice to get a new and totally personalized playlist.

Music Chatbot Integration Examples

• Spotify

🧠 NLP

Natural Language Processing is an essential component when building a chatbot. This AI technology allows your chatbot to better understand human natural language in order to better respond to your different users. There are many NLP platforms that you can integrate with your chatbot. They are all available and easy to integrate with CSML.

AI NLP Chatbot Integration Examples

• Amazon Comprehend
• Amazon Lex
• Clevy comprehension API
• Dialogflow
• Hugging face
• Lettria
• Rasa
• SAP conversational AI (recast.ai)
• IBM Watson
• Wit.ai
• Custom NLP Engine with webhook integration

NLP Chatbot Tutorials from our blog

Add Natural Language Understanding capabilities to CSML Studio chatbots with Amazon Lex

Discover how to add Amazon Lex to your CSML Chatbot in CSML Studio

CSML BlogFrançois Falala-Sechet

Using NLP in a CSML Chatbot with Dialogflow

Read this tutorial to create NLP-powered chatbots with our integration with Google Dialogflow

CSML BlogFrançois Falala-Sechet

📝 OCR

An OCR application consists of recognizing and extracting text from a written document or an image and converting it into a digital document. Make your chatbot smarter and let your users upload or generate documents such as personal IDs, certifications and contracts.

OCR Chatbot Integration Examples

• Google Cloud Vision OCR

💳 Payment

Secure transactions are increasingly made from chatbots, particularly from e-commerce sites. Your customers are then able to discover a new and original experience than the traditional customer journey. This can be an interesting option to add to your business.

Payment Chatbot Integration Examples

• Klarna
• Paypal
• Stripe

📚 Productivity

Chatbots can also help you manage your tasks with productivity integrations.You will improve your productivity and get a better overview of your tasks and your schedule.

Productivity Chatbot Integration Examples

• Clickup
• Monday.com
• Trello

Queue

Sometimes heavily used services need to set up queues, for example for a good distribution of server resources. You can send messages to an Amazon SQS Queue easily by integrating an app such as Amazon SQS with your chatbot.

Queue Chatbot Integration Examples

• Amazon SQS

📈 Spreadsheet

Spreadsheet connectors are commonly used for chatbots. They are a good alternative to databases, requiring less technical skills for storing information sent by users and for data visualization. You can save and access data from your chabot to a spreadsheet application directly from your chatbot!

Spreadsheet Chatbot Integration Examples

• Airtable
• Google Sheets
• Microsoft Excel Reader

🛠 Tooling

CSML Studio includes several tools you can easily integrate into your chatbot, such as generating uuid, checking the validity of an iban, proposing a calendar or performing HTTP requests. Most of these tools are now available as built-in functions in the CSML programming language.

Tooling Chatbot Integration Examples

• Datetime
• HTTP Requests
• IBAN Validator
• QR Code
• Regex
• Scheduler
• SOAP Client
• UUID
• HTML to markdown converter
• Excel reader

🌎 Translation

Creating multilingual chatbots can be technical, especially with NLP technology. But there are ways to make it simple! You can also easily integrate powerful translation tools with your chatbot. This way you can reach your users all over the world in any language, no matter where they are located!

Translation Chatbot Integration Examples

• Amazon Translate
• Frengly

🧩 Utils

If you need to transform your software documents? Connect your chatbot to a Utils application to make your documents easier to read.

Utils Chatbot Integration Examples

• HTML to markdown converter
• Excel reader

🌤 Weather

You can create a chatbot that tells you the weather every day at any location in the world instantly. We offer the ability to integrate OpenWeather, the industry's leading application, into your CSML chatbot.

Weather Chatbot Integration Examples

• Open Weather

Integrate any app with your chatbot, without limits!

Integrations have become essential for chatbots. They allow you to simplify many processes and data management, while ensuring a successful user experience.

Whether your virtual assistant is deployed on your mobile app, your website, your Wordpress CMS or any other messaging service such as Messenger or WhatsApp, you can integrate all of these integrations into one chatbot!

Need to integrate your own application? No worries. CSML also allows you to add your own functions, developed in any language : Python, JavScript, Java, .NET, Ruby, Go… You can also use CSML native functions or perform native HTTP requests from your chatbot.

CSML Studio - Integrations Directory

Augment your chatbot’s special powers ⚡️ by installing one of the ready-to-use CSML Apps and connect your bot with dozens of APIs, services, applications or databases on CSML Studio in just one click!

CSML.devClevy

Can't find the integration you're looking for? Want to suggest a new one?
Please let us know on our Slack community!

Today, most intelligent chatbots are built with NLP technology. Several companies operate in the NLP market, they offer feature-rich platforms that easily provide language understanding to a chatbot. In this Top 10 NLP platforms for AI chatbot developers, we will compare some natural language processing providers that you can connect to CSML Studio.

What is an NLP platform?

NLP (Natural Language Processing)

NLP or Natural Language Processing consists of the processing of natural language by machines. Many algorithms fall under the NLP field: splitting a sentence into words, tagging part of speech, enriching words, etc...

NLU (Natural Language Understanding)

NLU is a sub-component of NLP which consists in this case of adding statistical learning (Machine Learning). The NLU intervenes to identify the intentions and meanings of natural language, to basically understand what the user is saying. In order to achieve this, NLU algorithms use NLP.

NLP Platform

An NLP platform is a SaaS (software as a service) that proposes NLP algorithms to integrate conversation interfaces with chatbots or other types of applications.

The most common NLP algorithms are:

• Intent recognition: the ability to classify a user's input to better understand his/her intent
• Named Entity Recognition (NER): being able to find entities within a sentence. Entities can be common entities such as measurements, locations, first names, etc..., or custom entities that have been trained.
• Sentiment analysis
• Tokenization: splitting a sentence based on words.
• Parts Of Speech Tagging (POS): allows you to know the base root of words as well as word types (nouns, adj, etc...)

NLP platforms serve all this information over API so your conversational agent can get going within minutes.

Top 10 Natural Language Processing platforms for your chatbot

Dialogflow

• Different pricing including a freemium version
• Channel-specific answers are customizable to each of your channels and can display the most suitable response
• Many channel integrations are available (ie: Messenger, Twilio, Slack, …)
• A test interface is available with the following text features: utterance, engine responses, contexts, intent, action, detected entities, values, JSON streams
• Wide variety of templates available on the shelf
• Multilanguage for most spoken languages

We’ve created an article on CSML Blog that walks you through how to connect Dialogflow to your CSML Chatbot.

Website link: Dialogflow

Witai

• No difference between intent and entity as all actions are intent
• Open source
• Logs of past conversation history in the form of a chat dialogue.
• Management of a very large number of languages (multi-language) 58 languages

Website link: Wit.ai

IBM Watson

• Different pricing starting with freemium
• Automated named entity recognition
• Full query history
• Multilanguage on the most used languages in the world

Website link: IBM Watson

Amazon Lex

• Tagging of model versions, intents, or entities.
• Tagging of entities in intents in an explicit way by indicating slots.
• Evolutive pricing starts from freemium.
• Supports 6 different languages

Website link: Amazon Lex

Amazon Comprehend

• Allows to identify the language of a text
• Pure NLP features recognition
• Detection of personal data
• Detection of the language used

Website link: Amazon Comprehend

SAP conversational AI

• Open source
• Multilanguage: 39
• Can be voice activated
• A lot of available templates, created by the community.

Website link: SAP Conversational AI

Lettria

• Best for companies and startups for internal use
• Best in class for french language
• Can analyze emotions and feelings as well as a large range of text features

Website link: Lettria

Hugging Face

• Available on-premise as well as SaaS
• Large range of models available
• Different algorithms can be used by the same chatbot
• Open-source

Website link: Hugging Face

Rasa NLP

• Open-source
• Requires programming knowledge
• Can be installed on-premise as well as used as Saas
• Specialized in customer experience

Website link: Rasa

Clevy Understanding API

• Best in class Q&A
• Safe and secured
• GDPR compliant
• Scalable
• Specialized in HR
• Templates available
• Multilanguage with a wide variety of languages available

Website link: Clevy

Conclusion

We’ve listed here 10 famous NLP providers for developers. You can connect all of them to your CSML chatbots, but you can also add your own NLU service with CSML Studio using custom webhooks!

Want to add NLP to your CSML Chatbot? Feel free to look into our integration library!

Do you have any other use case in mind doable with CSML? Share yours on our Slack Community: https://csml.dev/slack

We love it when our community members share their feedback and tell us how they use CSML. That's why we are super happy to welcome Alessandro on this blog today, so that he can tell us more about his use of chatbots and CSML!

Interview with Alessandro Aureli, founder of Üpdate Solütions

In this interview we have the pleasure to receive Alessandro Aureli to introduce his various chatbot projects made with CSML.

Hi Alessandro! Thank you for participating in this interview. We are excited to know a little bit more about you and your chatbot projects! Could you tell us about yourself and your background?

I am Alessandro Aureli, living in French Polynesia (Tahiti) since 2001. I arrived here due to my previous work in the hospitality industry. I started my own company, Üpdate Solütions in 2016.

In the beginning, the scope of Üpdate Solütions was assisting local companies in their development of mobile applications and dematerialization of their customer services workflow.

Three years ago, Üpdate Solütions stepped into the chatbot sector and initiated chatbot development in Tahiti. Since then, we have been assisting local companies on their chatbot and AI development.

How did you discover CSML and how was it helpful for your projects?

I believe we are required to follow up on technology news that concern my company's business field and our customers' needs, by reading and searching on the Internet.

As a result, I started to read about CSML, and became very interested in it.‌‌ After a short while and out of some basic experiences, I decided to move all chatbots into CSML.

CSML is great progress for us, it let us abandon the rigidity and the high cost of popular chatbot platforms. CSML’s flexible and comprehensive code opened many wide horizons for development and customer satisfaction.

What projects are you working on at the moment? Would you like to talk about one of them in more details?

We are serving three customers situated in utility and aviation industries, with a total of nine chatbots on Messenger, WhatsApp, and WebApp channels.

Our customers are:

• Polynésienne des Eaux: Nationwide. Water utility systems; drinking water, and wastewater.
• EDT Engie: Nationwide. Electric power, production, and distribution.
• Air Tahiti Nui: Worldwide. National airliner.

I would like to talk about Polynésienne des Eaux, which has the most complete chatbot and AI project we worked on, and it paved the way to Üpdate Solütions for other customers’ projects.

How did you find the idea to create this project?

As Üpdate Solütions, we started to work with Polynésienne des Eaux in 2016. When we came up with the idea of adding a conversational agent to Messenger to improve customer support, it was obvious to us to present the idea to our historical customers.

Facebook is the most popular application in French Polynesia; being a user of Facebook enables one to communicate on Messenger by default. At that popularity level, for us; Messenger is the 4th communication channel for the company's customer support service, after phone, email, and physical agencies.

When we presented the project in this way and added it to the aim of covering 80% of Messenger’s workflow in an automated way, a very open-minded and innovative customer support team of Polynésienne des Eaux jumped in with us to the adventure. With the support and efficiency of Polynésienne des Eaux’s customer support team, we built the best-performed chatbot in the town.

The multichannel chatbot is able to respond to customers on actions such as:

• Consulting the last invoice and account balance.
• Paying the last invoice and/or account balance.
• Opening a support ticket.
• Registering monthly water consumption volume for self-billing.

Do you use any NLP service or other external tools and APIs?

Yes, we do use for our chatbots Dialogflow via external service/API.

What are your plans for the future of your projects?

We are working on connecting Amadeus for developers API with Air Tahiti Nui chatbots and improving the chatbot with tools that will satisfy many users. In addition, we are developing our chatbots on channels such as WhatsApp and WebApp. And foremost, we are convincing our customers to step into voice bots!

We used to think chatbots were simple programs answering simple questions. But it is not true anymore! Chatbots have become a real opportunity for businesses or companies and their benefits are numerous.

Nowadays, more and more companies integrate chatbots into their processes in order to grow and evolve their business. Chatbots are helpful to solve some problems and thus increase the results of your company.

Here is a list of 16 chatbot advantages for businesses.

Language Comprehension

Understanding human language and knowing how to respond to it is the primary role of a chatbot. Its way of expressing itself must be natural and understandable to anyone. A chatbot can replace a human to answer some user requests.

🧠  Understand Human Language, User Intents, and Entities

Nowadays the understanding level of chatbots is more and more advanced.

Thanks to NLP your chatbot is able to improve its understanding of human language to create smooth and natural conversations with your users and give them the right answer.

Gone are the days when chatbots had a limited vocabulary or only buttons, they are now at the cutting edge of technology. Here is a list of NLP platforms you can integrate with your chatbots.

🌎  Multi-Language & Translation

Even if some languages are widely spoken like English, some of your customers may not speak it. Using a chatbot in this case is a very good benefit for your company.

• It is completely possible to make a chatbot multilingual. Your user experience will be better.
• The communication between the chatbot and the user will be more fluid and pleasant.
• You can add translation features with integrations such as Amazon Translate or DeepL

🦾  Get Constant Improvement Over Time With Machine Learning

Thanks to machine learning, chatbots are much more efficient in responding to the demands of different customers and users.

• Chatbots are able to integrate a large amount of language expression making them a fast and valuable help to answer customers.
• Today it is difficult to tell the difference between a conversation with a chatbot and a human making the use of chatbots more democratized and enjoyable.

💬  Offer Contextualized Conversational Experiences

Today’s chatbots are more than simple virtual agents, they are real conversational experiences.

• They can recognize users from previous conversations and remember essential information to use for the next conversation.
• They can track traffic sources and follow user journeys to deliver contextualized answers and improve funnels.

Customer Experience

Providing a unique customer experience is one of the key points for every company to differentiate itself and satisfy its customers. A conversational agent can help you improve this aspect of your company.

🕘  Make Customer Service Available 24/7

One of the first chatbot benefits for companies is that they simply don't need to rest.

• Unlike a human being with physical needs, chatbots are fully operational at any time of the day or night.
• With a chatbot, your customer service can be reachable 24/7 to answer all your customers' questions. Then your customers' satisfaction would be much better as they can receive an immediate answer to their requests.

☀️  Smoother Customer Journey

It’s essential for a company present on the web to offer a pleasant and intuitive customer experience. Your website is the reflection of your business and it's important to improve it as much as possible.

To optimize the customer experience, adding a chatbot to your website can be interesting to help your users find the right information more quickly.

⭐️  Better Understanding of Customer Feedback

A chatbot is able to report on different user requests. With this database it is easier for you to:

• Understand your user's feedback
• Answer them in the best way to improve your business and also the experience with your conversational robot.

😇  Can't Get Offended or Lose Patience

Sometimes we can have a bad day that can interfere with the way we communicate.

One of the advantages of chatbots for your business is that they can't be affected by emotions. They can't get offended or lose patience with some customers' requests.

🌈  Endless Personalization

Creating a chatbot can be beneficial for your company because the tone and personality of your chatbot will reflect the values and image of your business.

You can personalize your chatbot as you want with many features available with CSML.

Task Automation

There are a lot of repetitive tasks that have to be done manually, which wastes employees' time and can prevent them from focusing on important tasks. A chatbot can be useful in different cases.

⏳  Automate Time-Consuming Tasks

Some of the tasks in a company are sometimes repetitive and tedious. Employees can lose motivation and energy by continuously performing necessary but low-value tasks.

It is possible to automate these tasks thanks to chatbots, which will save time for your employees so that they can focus on more rewarding and motivating tasks.

Highlighting the skills of your employees by automating some of their tasks is one of the benefits that chatbots can bring to your company.

As an example, the french startup Clevy.io created the HR-specialized chatbot EVA. This chatbot allows employees to book vacations, open IT enquiries, and download their payslips on demand.

🎯  Enhance Marketing Targeting

In order to build a marketing strategy around a business, it is important to know your target. Your marketing campaigns can be more effective with the use of a conversational agent.

Indeed, chatbots allow you to better understand your target because they regularly interact with your customers or potential customers. In this way, you can get key information to make your marketing more targeted by using a bot.

🗂  Qualify Requests

Your chatbot has the ability to make your job easier by sorting user requests for you and your company.

Thanks to this, your conversational agent can reduce irrelevant requests before putting the user in contact with a human for a specific request.

💸  Increase Sales

Using a ai chatbot for your business can bring you more sales. Indeed, bots can recommend items to your customers according to their preferences and thus direct their purchasing act.

Integrating a chatbot on an e-commerce website can help customers to make their choice through a conversation which can strengthen the customer relationship during the shopping session.

Accessibility

As a software application, it is possible to quickly and easily deploy a chatbot in order to make it accessible to all the customers of your company.

🔗  Can Be Connected With Many Integrations

There are many different integrations you can add to your chatbot. It is now easy to create a conversational agent with advanced capabilities. you can:

• Connect a database like MongoDB or MySQL
• Create tickets on ZenDesk
• Fill out spreadsheets on AirTable, Google Sheet or Microsoft Excel
• Push requests by email (SMTP, MailChimp, Sendinblue...)
• Connect your users with humans with a LiveChat platform: Intercom, Front, Chatwoot...
• Send information to webhooks by Zapier or Integromat
• And many more!

You can make your favorite apps conversational in a few clicks with CSML integrations.

⚙️  Industry Agnostic

Conversational agents can be used in any field in which you want to develop it. A chatbot is easy to set up and can help you develop your concept.

We published an article on our CSML Blog to give you some chatbot use cases ideas.

🚀  Can Be Deployed Where Your Audience Is

A chatbot is accessible at any time as we have seen before. Another advantage is that it can be available wherever your users are.

Your chatbot doesn't need to move or align itself to a time zone. Thanks to this, users' answers will always be instantaneous.

To Conclude

Companies have been facing for 10 years an important transformation towards digital. The implementation of chatbots is one of the most frequent aspects as they have become the leading AI use cases in enterprises (Gartner).

Digital transformation allows companies to improve their awareness and their efficiency, making them more modern and aware of the new working world challenges. We have mentioned here some of the opportunities that chatbots can bring to companies, but there are many more!

Nowadays it becomes easier to build and deploy chatbots for your business to take advantage of these benefits, especially with CSML.

Do you have other advantages that chatbots can bring to your business or to a company? Join us on Slack to share them with our community!

The CSML family is growing day by day thanks to our great community. We are proud to see that our developers are all over the world and working on awesome chatbots projects. At the end of 2021 we were so glad to see that you are already more than 10 000 CSML developers!!!

📝 Latest article, trending article 📝

Find the last article we published on our blog:
https://blog.csml.dev/150-best-chatbot-use-cases/

If you didn’t read our previous article:
https://blog.csml.dev/5-best-programming-languages-for-chatbot-development/

🔧 Latest integrations 🔧

• Category Compute:
  Google Cloud Functions https://www.csml.dev/studio/integrations/google_cloud_functions
• Category Marketing:
  ActiveCampaign
  https://www.csml.dev/studio/integrations/activecampaign
• Category Queue:
  Amazon SQS
  https://www.csml.dev/studio/integrations/aws_sqs

🤖 Chatbot idea for next month 🤖

Want to make a little nice surprise for your Valentin.e? 🌹
Here is a little chatbot idea for you! Create and send a lovely card by creating your own Valentine's Day chatbot or by using KittyBombing !

👩‍💻 Meet the CSML Slack community 👨‍💻

The strength of a community is that it can be shared and grow day by day. Whether you want to join our awesome community, talk to the support team, or give us feedback, feel free to join our Slack team!

Slack:  https://csml.dev/slack

🥰 Sharing is caring 🥰

To help us spread the word about our technology, don't hesitate to follow us on our social networks.

Linkedin: https://www.linkedin.com/company/saycsml
Twitter: https://twitter.com/sayCSML
GitHub: https://github.com/CSML-by-Clevy

That's all for January, we hope you like it and we'll see you in February for even more CSML! 🦜

Nowadays it's more and more common to find chatbots used for many different situations in everyday life. For business as well as personal use such as travel, health, or administrative procedures, AI chatbots have over time become real conversational assistants for humans. In this article, we will list some of the best chatbot use cases that you can build in CSML.

Chatbots for Customer Services

If there is one field in which chatbots are used, it is customer services. Most companies provide a conversational agent on their homepage to help users find information. This example is probably the most widespread yet there is a multitude of actions that a chatbot can perform for users. Here are some of the best chatbot use cases to optimize customer experience!

• Build customer experience
• After-sales service
• Product support
• Check inventories
• Recommend items
• Create quizzes
• Announce promotions
• Bot contests
• Introduce new product/service
• Handle internal helpdesk support
• Improve product onboarding
• Bot product recommendation
• Customer Support chatbot
• NPS Calculator - https://www.csml.dev/studio/templates/
• Satisfaction surveys - https://www.csml.dev/studio/templates/
• Process returns and refunds
• Assign customer request to support team
• Bug reporting chatbot
• Automate website support
• Support from mobile apps
• Confirm order
• Collect customer feedback
• Call center Voice Bot Q&A chatbot
• Track shipping

Chatbots E-Commerce

E-commerce platforms are increasingly starting to introduce chatbots into their sales practices and strategies. AI chatbots can be a great way to improve the customer experience and bring a touch of originality to your e-commerce platform. Here are some chatbot use cases to improve your e-commerce experience.

• Set price alert
• Find gift idea
• Reserve product
• Bot track order
• Product Q&A chatbot
• Ask product information
• Order and pay product - https://www.csml.dev/studio/templates/
• Track shipping
• Generate coupons and sales
• Improve Amazon ranking
• Collect product feedback
• Push product recommendation - https://www.youtube.com/watch?v=1XnbQUJ5Ix0

Chatbots for Education

Teaching methods tend to evolve frequently and tend towards digitalization. Most teaching methods nowadays are more and more connected. The use of chatbot ai facilitates learning for many students, some of whom study mainly online. The health situation has further accelerated its educational processes. Here are some chatbot use cases for education.

• Review lessons
• Promote school programs
• Q&A test
• Bot tutorials
• School subscribe
• Bot orientation aid
• Homework chatbot - https://jules.cned.fr/

Entertainment Chatbots

Chatbots are usually used to simplify tasks, whether at work or in everyday life. However, it is quite possible to use the chatbot's artificial intelligence to create entertainment. Here are some chatbot use cases for entertainment.

• Personality or celebrity chatbot simulator - https://digitalhumans.com/digital-einstein/
• NLP Community chatbot - GHOST_URL/csml-developer-spotlight-interview-with-yacine-djenidi-creator-of-simsimi-algerian/
• ELIZA, famous rogerian psychologist chatbot - GHOST_URL/use-the-actual-eliza-algorithm-in-your-chatbot/
• Birthday, christmas, valentine day digital card - https://www.kittybombing.com/valentinesday
• Music and Video curating playlist
• Find movie or serie ideas
• Playing game
• Chess chatbot - https://chat.csml.dev/s/kexfpapscqbvremc2qhpokdvfllk4sym
• Card and frames generator
• Community chatbot
• Secret Santa chatbot
• Generate knowledge quizzes - https://chat.csml.dev/s/hcaw2asqfr8cavvv32is3hzpfwr8dtem
• Meme generator bot
• Funny GIF generator - https://www.csml.dev/studio/templates/
• Random jokes generator - https://play.csml.dev/bot/7115ae85-70af-4ad0-a169-41a3891f4e4a

Finance Chatbots

The world of finance is a very suitable environment for the use of chatbots. With the digitalization of banking systems, it is almost impossible not to have come across a chatbot when using a banking application. Conversational assistants allow users' requests to be answered efficiently and quickly when they need to use their money. Here are some of the best chatbot use cases in finance.

• Bot investment manager
• Credit apps
• Money transfer
• Get latest stock market news
• Budget optimization

HR Chatbots

HR departments are regularly called upon to respond to employee needs. They have to deal with issues of improving communication between employees and their company. Chatbots are very good tools to meet the organizational needs of large companies in order to facilitate the management of employees in an efficient and fast way. Here are some of the best chatbot use cases to optimize HR services.

• Take and schedule leaves
• Streamline expense report
• Answering HR most related questions
• Ask for a meeting with the manager
• Report a sick leave
• Payroll / payslip consultation
• Schedule meeting between employees
• Keeping the pulse of your employees
• Completing transactional HR service
• Onboarding and training for new employees
• Training and workshops

Healthcare Chatbots

Since the beginning of the health crisis, health services have been forced to go digital quickly. Chatbots are becoming more and more common in the medical field in order to free up staff time and provide the right information to patients while keeping a constant follow-up. Here are some chatbot use case examples for healthcare. Covidbot by Clevy was created in a couple of days in a way to keep people aware of new instructions about the sanitary crisis.

• Covid-19 information Chatbot - https://www.covidbot.fr (french)
• Therapy - https://www.owlielechatbot.fr/ (french)
• Preventive care chatbot - https://www.covidbot.fr/ (french)
• Tracking prescription use
• Sexuality prevention bot
• Work stoppage
• Diagnostic test
• Preventive care chatbot
• Schedule a physician consultation
• Addiction cessation aid
• Find vaccination location

IT Chatbots

We tend to think of chatbot use cases in very different domains of artificial intelligence technology. However, there are all kinds of IT-related issues where the use of chatbots can be useful for daily life or for business. Here are some of the best chatbot use cases to optimize IT.

• Intranet use
• Order new laptop or new phone
• Bot printer instructions
• Recover password
• Report technical problem
• Helpdesk chatbot
• Ticket management
• Printer instructions
• Email and identity verification
• Wifi password QR code generator

Marketing Chatbots

Marketing uses have been constantly evolving for a few years with the rise of digital practices. In order to diversify marketing strategies and make certain tasks less tedious for employees and more fun for users, some companies have already implemented chatbots. Here are some chatbot use cases to optimize marketing.

• Simplify pricing
• Create contests and quizzes
• Build email list
• Create a bot news
• Create a second-net strategy
• Execute drip campaign
• Improve product onboarding
• Product recommendations
• Provide inbound marketing contents
• Marketing automation management
• Improve funnel marketing
• Bot product promoter
• Introduce new product / service
• Lead generation bot from sales approach - https://www.csml.dev/studio/templates/
• Subscribe to a newsletter
• Promote contests
• Run drip campaign
• Promote referral program
• Improve product onboarding
• News bot

Sales Chatbots

The implementation of chatbots and artificial intelligence within sales teams facilitates the sometimes repetitive sales steps of salespeople. Conversational agents can streamline and optimize sales processes while enabling salespeople to achieve more results. Here are some of the best chatbot use cases to optimize sales.

• Improve lead nurturing
• Book product demo
• Sales conversational agent
• Place online order
• Cost simulator
• Conversational assistant for sales team
• Provide quotes and estimate
• Connect sales, customer, support…
• Demo and show request product
• Eases appointment booking
• Automate sales and lead generation
• Bot personal shopping assistant
• Shopping assistant
• Connect leads with sales

Travel Chatbots

Preparing a trip requires a lot of rigor and organization. Consumers just want to go away to take some rest and don’t want to plan anything while they are on vacation. Here are some chatbot use cases that could simplify your life when traveling.

• Get advice on topics (where to visit, best restaurant, museum list…)
• Book travel
• Translator bot
• Compare flight and hotel prices

Chatbots for Industry

The tasks related to the industry sector are quite hard and time-consuming. It's an environment that could be made lighter with the help of chatbots. Here are some chatbot use cases that could simplify the work in the industry.

• Supply chain management
• Help order preparation
• Quality control

Legal Chatbots

Legal procedures generally require a number of documents. It is sometimes necessary for certain procedures to find out about the laws, or about the types of documents to be provided. Here are some of the best chatbot use cases to simplify your legal processes.

• DPO & GDPR Chatbot
• Notary documentation
• Certificate generation
• Law documentation
• Schedule appointment with your lawyer
• Request for personal user information

Governmental Chatbots

Chatbots can be useful even within the government. Don't worry, the goal is not for them to take over. Chatbots can facilitate the management of government administrative documents. Here are some of the best chatbot use cases to simplify governmental instructions or documents.

• Provide territories and travels instructions
• Schedule appointment for personal documents

Food & Beverage Chatbots

The world of catering has undergone some changes, especially with delivery service applications. The competition is always stronger and the owners of the establishments must redouble their ideas to propose original services. Here are some of the best chatbot use case ideas for food and drinks.

• Recipe ideas chatbot - https://github.com/CSML-by-Clevy/recipe-finder
• Find reviews
• Places recommendations
• Find a menu
• Order by delivery
• Book a table

Do you have any other use case in mind doable with CSML?
Share yours on our Slack Community! https://csml.dev/slack

Find gift ideas, prepare advent calendars, send Christmas cards to your colleagues, order presents for your family… We all know how exciting Christmas time is! It is also a great opportunity for businesses to reward their employees, retain their customers or even increase their sales.

Conversational agents have become a perfect channel to support Christmas operations. Especially when they are able to connect with other apps easily, thanks to technologies such as CSML. Today we’ve decided to share with you 5 Chatbot Ideas for Christmas, easily buildable and deployable with CSML Studio!

Christmas Card Generator Chatbot 🖼️

Nowadays we’re not used anymore to send Christmas cards by mail to our family, friends or collaborators. Chatbots can make that funnier! Rather than using a simple outdated Card Generator, you could use for example KittyBombing, the first chatbot letting you create funny Christmas Cards for your contacts, with the picture and the cat you want to bomb it. In a few clicks, you can send your dedicated Christmas card by email or share it on social networks.

CSML Integrations example for your XMAS Card Chatbot: Picture Frame - SMTP

Advent Calendar Chatbot 📆

There are a lot of brands creating their own advent calendar. Most of the time they are made with cardboard boxes, never mind the product: cosmetics, beers, candles, chocolates, toys, jewels... With CSML you can create a very original advent calendar chatbot with plenty of presents! It is also a good alternative to a physical calendar. You can find many digital gift ideas such as activities to schedule, coupons, gifs, videos, messages, music playlists…

CSML Integrations examples for your Advent Calendar Chatbot: AirTable - Spotify - Giphy

Secret Santa Chatbot 🎁

Offering presents to members of your family or your company is not that easy. Secret Santa is a Christmas tradition in which members of a group are randomly assigned to another member to whom they have to give a present. It is a good way to make it easier, fair and fun to offer gifts!

It is also a nice opportunity to bring members of a group together. That’s why many companies (like ours) organize a Secret Santa every year for their employees. With CSML, it is pretty simple to run a chatbot registering users individually, assigning them randomly to another subscriber when the list is complete and revealing the assignee through the conversation or an email. You can also send anonymous questions to your assignee via the chatbot!

CSML Integrations examples for a Secret Santa Chatbot: Google Sheets - Front Live chat
CSML Template to get it started: Simple Lead Generation

Santa Claus Chatbot 🎅

Have you ever dreamed in your life to talk to Santa Claus? There are many messaging services letting you talk with their Santa Claus version to make your child happy or make jokes to your friends or colleagues. It is also a great opportunity for businesses to create original conversational projects. For example Bouygues Telecom sends you videos of Santa Claus transcribing into voice any text sent to their WhatsApp chatbot.

CSML makes it also super easy to create a chatbot for children. You can include a NLP service to let your chatbot better understand them, contextualize the conversation, ask them for a gift wishlist and send it to parents!

CSML Integrations examples for Santa Claus Chatbot: Dialogflow - Hugging Face

Gift Ideas Chatbot 💡

Christmas is coming and you still haven't finished getting gifts for everyone? You have a business and you want to push affiliate products to your customers? The chatbot is a good solution for it, specifically with its contextualization and integration capabilities. For e-commerce companies it also makes a good opportunity to improve and track their sales. For example, last Christmas we made KadoBot with the students of Ada Tech School, a chatbot giving gift ideas.

CSML Integrations examples: Shopify - Amazon

Seasonalities are a good opportunity to find new chatbot ideas and help support new operations for your business. Most of all, nearly every chatbot idea is doable with CSML, quickly and easily!

Ready to make your own CSML Christmas Chatbot? If you already have one or more ideas of XMAS Chatbots, you can share them with us on Slack!

🌟 Merry Christmas from the CSML Team 🎄

There are many programming languages available today. Nowadays, it is possible to develop any type of chatbot in most of these languages. The growth of the bot market makes developers wonder which languages are the most suitable for chatbot building. With this article, we suggest you an overview of the 5 best programming languages to develop your chatbot.

CSML

CSML is a DSL (domain-specific language) built in Rust, specialized in chatbot development. It's a language that allows you to create chatbots more easily and quickly than languages that weren't originally designed for this purpose. This language is made to simplify chatbot building and be accessible whether you are a novice or an expert in programming.

CSML chatbot advantages

• open source
• simple and expressive syntax
• speed
• specific to chatbot building
• several integrations, templates, APIs
• interoperability with other programming languages
• scalable (many features)
• accessible on any channel of your choice. usable in a free online development environment

Javascript

JavaScript is a prototype-based scripting language used in interactive web pages (allowing interaction with the user). Thanks to its various features, it is now considered one of the best and most popular programming languages.

Javascript chatbot advantages

• speed
• simplicity
• rich interfaces
• compatibility with all digital media
• UX awareness
• popularity

Python

Like JavaScript, Python is one of the most popular languages today. It is a general-purpose programming language that makes it very accessible for any type of project. It is very often used when carrying out machine learning or data science projects.

Python chatbot advantages

• popularity
• integrable and extensible
• open source
• extensive library
• easy syntax
• automation

Ruby

Ruby is a versatile programming language quite similar to Python in its syntax. It is possible to build chatbots in this language using its full stack framework Ruby on Rails. You can do many projects with Ruby ranging from web apps, prototyping, or even data analysis and bot building.

Ruby chatbot advantages

• open source
• readable code
• easy to test code (MiniTest integration in the library)
• flexible and intuitive language
• data protection

Clojure

A little less known than the options mentioned earlier in this article, Clojure is a compiled functional programming language. It is a dialect of LISP that allows access to various Java frameworks. Clojure has been developed with a "Code by data" approach.

Clojure chatbot advantages

• open source
• collaborative
• multi-compatibility
• several integrations and APIs

There are many other programming languages to create your chatbots. The key is to find the most suitable language according to the needs and specificities of your chatbot project. We are able to create chatbots in less time and investment by using open-source languages. We hope that you can find the perfect language for all your chatbot-building needs.

It's not a secret that programming chatbots in Python or JavaScript takes many days or even weeks! That’s why we created CSML, a domain-specific programming language designed to build powerful bots easily and quickly.

CSML is a programming language that is very easy to learn because of its simple syntax and low boilerplate overhead. It appeared to us that it could be a great tool for students learning the programming basics.

The CSML team has thus given itself a new objective to get involved in education by proposing different training programs as workshops for students to discover programming basics with CSML.

We are proud to have recently collaborated with the prestigious Epitech school in order to let students discover the CSML during a workshop.

All of them quickly understood CSML and succeeded in creating their own chatbot within a few hours in the CSML Playground.

CSML team’s values and pedagogy

We believe that everyone is capable of coding, regardless of their experience and skills. Everyone should have simple access to programming and creating chatbots.

We make students program via the CSML Playground by applying learning by doing pedagogy. Team members are present during the workshop to help students in their programming basics learning on CSML.

It is very important to us that at the end of each workshop, students succeed in applying the development basics on CSML. The goal is for them to build a chatbot at the end of the day and to be proud of their project.

Find the right CSML training program for you!

The CSML team has set up different training programs in order to offer schools but also companies the best experience tailored to their needs.

Initiation to programming

If you are interested in learning programming basics, CSML is an ideal language because of its simplicity and can be tailored to schools and companies.

Botathon

We organize a competition to build the coolest chatbot. The teams have to come up with an idea for a chatbot and build it using CSML. In the same way as a hackathon but with chatbots. At the end each team presents its chatbot in front of a jury and is evaluated according to chatbot building criteria. If you like challenges you can include Botathon in your school or developer team.  

Use-case based training program

It's a program using a use-case adapted to your needs. It can be a use case or a chatbot connected to your IS.

Discover CSML programming language workshops!

Our various training programs have already convinced several schools that trust us, including Epitech, Ada Tech School and School 42.

We are convinced that anyone can use our programming language and build their own bot using it. Don't hesitate to browse our workshops to discover the CSML programming language!

As the makers of an open-source chatbot framework, we are always excited and inspired by what our users are building. Today, we are interviewing Yacine, who created SimSimi Algerian, a very popular chatbot with over 80.000 active users, and more than 3 million messages every month.

Hello Yacine, it's nice to have you today on the CSML blog! Can you tell us a bit about yourself and your background?

Hi, my name is Yacine and I am a chatbot builder from Algeria. I build and experiment with chatbots as a hobby and to be able to know the limits they can reach. I learned a lot over the past years and I have good experience in dealing with users and how they interact with chatbots through the Messenger platform.

What is SimSimi, your most popular chatbot?

Simsimi Algerian was a Messenger chatbot first introduced in 2019. It is a conversational chatbot that can interact with the user in a human-like manner and provides a great experience to show the capabilities that the chatbot can achieve. Since July 2021, more than 80,000 users have joined to talk to Simsimi, and more than 4 million messages have been exchanged during that period.

How did you get the idea to create SimSimi?

I am inspired by a lot of chatbots like ELIZA and other similar projects, so I decided to build a chatbot that mimics the way people speak and act on social media. At the same time, SimSimi acts as a friend of the user, who can talk to him about many topics.

Since 2019, there have been several versions, but there were things that the chatbot could not do, such as remembering things and using conditions to respond to the user.

One day, while I was looking for chatbots building websites, I read about CSML on Reddit. I signed up and started reading the documentation. It was very easy because it didn't require me to have much programming experience, so I connected CSML with Messenger, I wrote my first code and got the first response back from CSML at that time.

Then I started redeveloping SimSimi while learning CSML at the same time. It only took me one week to write SimSimi responses and learn the basics, which is amazing! Then I started experimenting and discovering the things I could achieve with CSML. I really liked all that I could do, like remembering names, places and sending cards or pictures easily. That's not making the chatbot smarter, but it does make it more efficient in handling user messages!

Messenger

Do you use any NLP or external service/API?

In general, I focused on using CSML because it supports the use of external NLPs service. That's why I use Dialogflow as an NLP provider, which helped me a lot in the success of the chatbot. I didn't try too many NLP providers, but I used Dialogflow for its ease of use and navigating between the phrases and intents
However in my opinion, using an NLP service is not always necessary, because CSML already supports it and can do most of the tasks.

Using NLP in a CSML Chatbot with Dialogflow

Read this tutorial to create NLP-powered chatbots with our integration with Google Dialogflow

CSML BlogFrançois Falala-Sechet

How do you explain SimSimi's success? What makes it such a popular chatbot?

SimSimi's success was for many reasons. In general, I have always worked hard to make SimSimi conversations and the messages that he sends unexpected and funny in most cases, so I rely on the users taking a screenshot of the conversation and sharing it with their friends. Most of the time they ask him what he thinks of someone or does he know this place, then he will respond with a good or nice answer that makes the user happy and has a desire to share the response with his friends, and this is the strategy that I adopted made SimSimi famous on social media and successful.

It took me a little patience, but it was worth it, and I think that the home quarantine that took place in early 2020 made many people use social media more and got to know SimSimi at that time.
Note: It took me a whole year to reach 5k likes at first and only one month to reach 30k!

What are your plans for the future with SimSimi? Do you have other projects?

Since SimSimi has achieved such success in the short period of time I started using CSML. I plan to improve it further, add some responses that are missing and then move on to work on another project that supports many languages and provides an exciting conversational experience, which I have discovered that I can achieve with a little work in CSML!

In my opinion, CSML is the best engine I used to make the most complex chatbots because it provided me with a language to program the way the chatbot behaves easily and quickly. I am very grateful to the team who helped me with most things on the Slack platform and to the developers who shared their experiences, problems and solutions, and their experience with CSML.

That's very kind of you Yacine! We are glad we have been able to help you building this fun project! Thanks a lot for sharing your experience with the community. We do wish you all the best in your chatbot projects!

A few years ago, I created an Instagram page for my dog: @randoreo. Two years have gone past and Oreo now has around 5k followers. Oddly enough, Oreo receives quite a lot of DMs on Instagram from people who actually send messages to my dog, but unfortunately, my dog's paws are way too big to type on keyboards. So I thought I'd make a chatbot that would reply instead of Oreo so every message sent to Oreo on Instagram gets an appropriate response.

In this article, I will walk you through creating a CSML chatbot and connecting it with your Instagram account.

The Chatbot

Let's create a simple chatbot on CSML Studio that answers with as many "Whoof" as there are words in the user's input. So the chatbot would answer "Whoof whoof whoof" to "How are you?".

Of course, you can create the chatbot experience that makes the most sense for you. Check out some cool CSML chatbot templates over here.

start:
  remember whoofs = ["whoof", "whoaf", "whoohoof", "whuf"]
  say "Whoof?"
  goto whoofements

whoofements:
  hold
  do r = ""
  foreach (item) in event.split(" ") {
    do r = "{{r}}{{OneOf(whoofs)}} "
  }
  say "{{r}}"
  goto whoofements

Connecting your Chatbot to Instagram

Instagram Account Prerequisites

At the time of writing this article, Instagram is limiting this feature to accounts that have between 1,000 and 100,000 followers. For testing purposes, however, you can create a brand new Instagram account that has a username starting with test_, like let's say test_mycompany. If you want to know more about these prerequisites, head over to this page.

Step 1: Prepare the Instagram Account

Before it can be connected to a chatbot your Instagram account needs to be set up in a specific way. Let's walk through this.

1. Business account: your Instagram account needs to be a Business account. In order to switch to a Business account, you need to open Instagram, go to settings, click on Switch to professional account, then on Business, and fill in your company infos to finish the process.
   Make sure that your account is set to a Business account, not Creator account. If your Instagram account is already setup as a Creator account, you can change this under Settings > Account > Switch to Business Account. Please note that this can only be done in the mobile application, not on desktop! More information over here.
2. Your Instagram account also must be open to direct messages from everybody. If you are unsure of how your account is setup or want to change settings, open your Instagram menu on your smartphone, then go to  Settings > Privacy > Messages and select Allow Access to Messages from everybody. Again, you can read the official documentation over there.

Step 2: Link your Instagram Account with a Facebook Page

The second step of this process is to link your Instagram account with a dedicated Facebook business page. As you know Instagram belongs to Facebook, and Instagram's chatbot features are very close to Messenger chatbot features; the configuration process certainly reflects that.

First, create a new Facebook page (or use an existing one if you want). You can give any name to this page: in my case I gave it the same name as the Instagram account username: Randoreo. Make sure it is published!

Once the page is created, you'll need to associate it to your Instagram account. In order to do so, follow the guide on this page.

Step 3: Connect your CSML Chatbot to Instagram

Now that your chatbot is created and your Instagram account is ready and linked to your Facebook page, you can finally deploy your chatbot on Instagram!

Go to CSML Studio, select your chatbot, and click on Channels in the left sidebar, then click on Instagram to create a new Instagram channel.

First, you need click on Continue with Facebook and connect to your account.

In the Facebook login flow that follows, you must select the Instagram account and its associated Facebook page.

Warning: if you already connected CSML Studio to your Facebook account in the past, you'll need to make sure that you add the correct page to the list of available pages on CSML Studio. To do so, click on Edit settings as you login to Facebook, in order to edit the list of available Instagram accounts and Facebook pages.

Before validating, make sure you give CSML Studio access to the list of resources.

You should now be able to see the list of Facebook pages that CSML Studio has access to.

Simply select the page associated to your Instagram Business account, and voilà: your chatbot is now deployed on Instagram!

Using a second account, you can now chat with your chatbot! Try talking to @randoreo:

Using this short Instagram Chatbot tutorial and CSML Studio, it's very easy to create powerful chatbots for Instagram. Instagram is one of the most used social apps and if you use Instagram for your business, you should definitely consider automating your DMs with a custom chatbot!

We are extremely proud to launch Instagram messaging automation, a new and long awaited channel for CSML Studio, starting today. Instagram is a very popular channel for businesses to promote their products, and until recently, it was impossible to automate customer inquiries. The wait is finally over!

If you have an Instagram account with between 1,000 and 100,000 followers, you can create an Instagram channel on CSML Studio today. The Facebook and Instagram teams have chosen to not yet open Instagram messaging APIs to all Instagram accounts, and if your account has less than 1,000 or more than 100,000 followers, you will need to wait for phase 3 of the rollout at the end of Q3 2021.

How to Connect your Chatbot to Instagram

Even if your account does not qualify for Instagram just yet, you can still try the feature by creating a test instagram account, with a name starting with test_ (for example test_mycsmlchatbot).

Make sure to connect it with a Facebook Business page account, and follow the instructions on the channel page to deploy your chatbot on your instagram account. You will be ready to go in no time!

CSML Studio Instagram chatbots support text, images and quick reply components, custom ice breaker to get the conversation going, Livechat, NLP, any number of Apps and all the other features you have come to love on CSML Studio!

We can't wait to see what cool chatbot experiences you are going to deploy on Instagram using CSML Studio. If you would like us to showcase your Instagram business chatbot in a following blog post, send us a message on Slack or leave a comment below!