Order Booking & Scheduling
Quick pickup booking with service selection, garment count, address input, and preferred time slot giving customers full control in under 60 seconds.
On-demand pickup and delivery, order tracking, subscription plans, and multi-vendor management. We've built laundry platforms from single laundromats to city-wide networks iOS, Android, and web.
Every laundry platform we build ships with AI capabilities that optimise pickups, predict demand, and personalise service automatically, from day one.
AI that assigns pickup and delivery jobs to the nearest available driver based on location, workload, and route efficiency minimising wait times and miles driven.
ML models that predict demand by area and time period, adjust pricing for peak slots, and optimise wash bay capacity allocation.
AI that identifies at-risk subscribers, triggers personalised win-back offers, and recommends the right plan upgrade at the right moment.
Computer vision that inspects garments for stains, damage, and care labels reducing complaints and automating customer communication about item condition.
AI that learns each customer's garment preferences (temperature, detergent, folding) and auto-applies them to every new order reducing re-wash requests.
AI dashboards that surface outlet utilisation, driver productivity, order cycle times, and revenue per zone giving operators the data to act, not guess.
End-to-end laundry app expertise from initial concept and operations strategy through to long-term platform management and feature iteration.
Define your service model, delivery zones, and competitive positioning before a line of code is written. We identify the retention mechanics and KPIs that will drive repeat bookings.
Bespoke platforms aligned to your brand, service model, and outlet network built from scratch or on top of proven laundry accelerators.
MVP-first delivery using agile sprints for rapid launch and early customer feedback so you validate your model before committing to the full build.
Conversion-led UI/UX that makes booking a pickup, tracking an order, and managing subscriptions effortless every screen designed to maximise repeat bookings.
Dedicated developers who understand on-demand service platforms, driver dispatch, and subscription billing available as individual hires or a full embedded squad.
Ongoing performance updates, payment integration patches, and feature rollouts post-launch so your platform stays fast, reliable, and competitive.
From instant order booking to real-time driver tracking every feature your customers and operations team need is engineered, tested, and delivered as part of every build.
Quick pickup booking with service selection, garment count, address input, and preferred time slot giving customers full control in under 60 seconds.
Live driver location, pickup and delivery ETAs, order status updates, and proof of collection keeping customers informed at every step.
Card, wallet, UPI, and cash on delivery with automated invoicing, PCI DSS compliance, and digital receipts for every order.
Weekly, monthly, and custom subscription plans with auto-renew, pause, and flexible rescheduling driving predictable recurring revenue.
Centralised control across multiple laundry outlets with individual dashboards, staff management, and consolidated reporting.
iOS and Android driver app for job acceptance, navigation, garment collection confirmation, and delivery POD connecting dispatch to the driver in real time.
Personalised alerts for order confirmation, pickup arrival, wash completion, and delivery keeping customers engaged throughout the journey.
Points, cashback, and referral rewards that incentivise repeat bookings and customer acquisition with automated nudges at the right moment.
Order volume, outlet utilisation, driver performance, and revenue metrics 40+ KPIs in one real-time operations dashboard.
We map your target zones, benchmark competitor pricing and turnaround times, and define the service model, subscription tiers, and driver logistics that will make your laundry app the default in your market all before a single line of code is written.
Customer booking, real-time tracking, driver dispatch, and outlet management flows wireframed and validated with real users before development begins.
Booking engine, driver app, outlet dashboard, and payment gateway built in parallel with bi-weekly demos and a staging environment live from week two.
Route optimisation, demand forecasting, personalised care preferences, and churn prediction models trained on your operational data before your first paying customer places an order.
We stress-test order volume, driver dispatch, and payment flows, resolve every bottleneck, and manage App Store and Play Store submission end-to-end so your launch day is smooth.
New city onboarding, franchise outlet setup, driver recruitment tools, and subscription growth supported by analytics dashboards and rapid feature sprints.
Deep teams with industry context - not generalists googling compliance acronyms. Each industry below has 30+ shipped projects and a partner who knows the regulator.
Telemedicine, EHR/EMR, claims automation, clinical decision support. HIPAA, HL7/FHIR, GDPR. Active partnerships with 14 hospital networks.
Core banking, neobank, payments, lending, KYC, fraud. PCI DSS, RBI sandbox, Open Banking, ISO 20022. We've shipped to Tier-1 banks in 4 countries.
Headless commerce, marketplace, omnichannel, AR try-on, AI recommendations. Shopify Plus, BigCommerce, custom. 22+ storefronts live with avg +34% AOV.
Last-mile optimisation, TMS, WMS, fleet IoT, route prediction, real-time tracking. Shipped to UPS, Alod and 11 other logistics operators.
OTT platforms, content recommendation, real-time encoding, multi-DRM, distribution at network scale. Sony Pictures, Hello Baby Direct and more.
LMS, adaptive learning, AI tutors, government portals. Shipped UKIERI for the British Council and 6 state-government education portals.
Pickup scheduling, garment tracking, driver apps, pricing tiers, and loyalty programs mobile laundry solutions built for fast turnaround.
We pick the technology that matches your scale, team size, and platform type not the stack that's easiest for us. Numbers reflect social apps shipped on each layer.
Real names, real companies, real numbers. Video on the left, written notes on the right - choose whichever feels more honest.
Although regulations prevented the site's launch, it met all requirements in terms of form and function. Fullestop's project plan charted a clear course to completion. The team's flexible, diverse talent pool enabled them to manage each stage of the project with consistent levels of skill.
Weekly demos, no surprises, and they push back when we're wrong. That last part is rare. Cut our cloud bill 47% in the first audit.
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The costs of developing mobile laundry applications depend on several variables, including the number of features, the specific requirements of the business, and the amount of time required to develop the application. If you're planning to create a basic dry cleaning application, it will cost between $10,000 and $35,000. However, an advanced laundry app development plan can cost as much as $350,000.
The laundry app on demand offers more opportunities for businesses. It allows businesses to reach out to customers on large scales beyond geographical boundaries. The ease of having laundry done over the phone draws many more customers, increasing sales. In addition, businesses can streamline their business processes efficiently.
Absolutely, you will receive all rights to the source code of your laundry system. However, when your project is completed and ready to be delivered, we will not have any rights in the code.
Some of the laundry app's most essential features include a one-tap request for pickup and scheduling, split payments, setting multiple prices, tracking, and a cost calculator.
If you are looking for custom software designed for your company, it will depend on your needs (i.e., the features or functions that you would like to include in the app) and the degree of difficulty of the app. However, if you opt for pre-built software as well as a subscription-based monthly service, the setup process can be completed in just two business days.