Navixy

𝗪𝗵𝗲𝗿𝗲 𝗱𝗼𝗲𝘀 𝘆𝗼𝘂𝗿 𝗳𝗹𝗲𝗲𝘁 𝗹𝗼𝘀𝗲 𝘁𝗶𝗺𝗲 𝗮𝗻𝗱 𝗺𝗼𝗻𝗲𝘆? These 9 dashboards show you: active vs idle assets, actual trip workload, mileage distribution, operational anomalies, and more. 𝗡𝗼 𝗮𝗹𝗲𝗿𝘁 𝗳𝗮𝘁𝗶𝗴𝘂𝗲. Just insights what impacts your costs. ⏩ Swipe through and pick the dashboard that fits your operation. #Navixy #FleetManagement #Telematics #FleetAnalytics #Logistics #Leasing #ConstructionFleet #OperationsManagement #Maintenance

We’re building Navixy MCP to make it easier for users to connect the Navixy MCP Server to their preferred AI client and explore fleet data in a more interactive way. Our goal is to help users: 🔹 connect the Navixy MCP Server to AI clients 🔹 gain insights into fleet performance 🔹 access visualizations and interactive UI directly inside the AI chat To get started, customers will need an AI client — for example, ChatGPT, Cursor or Claude Desktop. For interactive visualizations, they’ll need a client that supports Anthropic MCP Apps, such as Claude Desktop, Cursor, or another compatible client. We’re still actively developing, refining, and expanding these capabilities to make them truly useful for real-world operations, and we’re excited to bring them to a wider audience soon. In the meantime, users can already work with our built-in AI Assistant inside the Navixy platform to access their data faster and more efficiently. Learn more about AI assistant capabilities in the blog post: https://lnkd.in/d3PVxSVR #Navixy #FleetManagement #Telematics #IoT #AIAssistant

Most fleet dashboards look polished, but they don't drive decisions. The problem isn't the charts. It's that different teams calculate the same metrics differently — so every report triggers a debate about which number is right, not what to do about it. 𝗗𝗲𝗳𝗶𝗻𝗲 𝘁𝗵𝗲 𝗞𝗣𝗜 𝗳𝗶𝗿𝘀𝘁. When teams agree on what they're measuring, dashboards start answering real questions. Meetings shift from "which figure is correct" to "what's the next move." 🔽 Read the full article 🔽 to learn how to fix your KPI framework. #Navixy #FleetData #Telematics #FleetManagement #Logistics #HeavyMachinery

❓ Your equipment is in the right place. But is it actually doing the job? For fleets operating in remote locations, this is where visibility breaks down. Two machines can report the same 180 engine hours. One runs under heavy load most of the shift; the other sits idle. The cost shows up later:  🔹 unexpected failures,  🔹 uneven wear,  🔹 maintenance bills that don't match the hours logged. This is the blind spot many operations teams still manage with. Stop measuring time. 𝗦𝘁𝗮𝗿𝘁 𝗺𝗲𝗮𝘀𝘂𝗿𝗶𝗻𝗴 𝘄𝗼𝗿𝗸𝗹𝗼𝗮𝗱 𝗶𝗻𝘁𝗲𝗻𝘀𝗶𝘁𝘆. When you break usage into idle, moderate, and heavy operation, you can see which assets are overworked, which are underused, and where to adjust. That's what turns telematics data into control. Want to go deeper? Read the full article. https://lnkd.in/dJUW-rEV #GPSTracking #Navixy #FleetAnalytics #HeavyMachinery #FleetOperations

AI is changing what users expect from software — not just how they search for information. At Navixy, we see AI becoming a new layer of the platform in two key ways: 🔹 through MCP, which makes Navixy documentation accessible to AI tools 🔹 through the in-platform AI Assistant, which helps users get answers based on platform data Together, these changes point to a more natural way of working with telematics platforms: less manual searching, less navigation, and faster access to answers. Read the full article at the link below. 👇

What changes when device data and workflows actually work together? The new integration of Navixy and AVT80 by Assistant Telematics shows how teams in construction, equipment rental, and cold chain can move from delayed visibility to real-time response. 🔹 idle assets are identified earlier 🔹 movement is detected as it happens 🔹 temperature issues can be addressed before they escalate Operations become easier to monitor, with faster response and less reliance on manual checks. Full breakdown in the article below. 👇

AI assistant is now the default content of the “𝐇𝐞𝐥𝐩” tab in the 𝐈𝐧𝐟𝐨𝐫𝐦𝐚𝐭𝐢𝐨𝐧 𝐜𝐞𝐧𝐭𝐞𝐫 of the Navixy platform, replacing the standard documentation link. When launched this way, the assistant automatically recognizes the user’s current authorization, so they can ask questions about the state of their assets on the platform without any extra setup. This applies only if the Administrator has not customized that link. As before, Administrators can still change it in the 𝐀𝐝𝐦𝐢𝐧 𝐩𝐚𝐧𝐞𝐥 (𝐒𝐞𝐭𝐭𝐢𝐧𝐠𝐬 → 𝐒𝐞𝐫𝐯𝐢𝐜𝐞 𝐩𝐫𝐞𝐟𝐞𝐫𝐞𝐧𝐜𝐞𝐬 → 𝐒𝐮𝐩𝐩𝐨𝐫𝐭) and point users to other support materials instead. This change makes in-platform help more accessible while keeping full flexibility for partners who prefer to route users to their own resources. As a reminder, Navixy documentation is now available via 𝐌𝐂𝐏 (𝐌𝐨𝐝𝐞𝐥 𝐂𝐨𝐧𝐭𝐞𝐱𝐭 𝐏𝐫𝐨𝐭𝐨𝐜𝐨𝐥). If you use tools like Claude Desktop, Cursor, or other MCP-compatible AI tools, you can connect the Navixy MCP server and let your AI retrieve answers directly from published documentation — including API references, integration guides, and platform documentation — with links to the exact sections used. Find more information here: https://lnkd.in/dN-pAWqc #Navixy #AIAssistant #FleetManagement #Telematics #GPSTracking #MCP

Real-time visibility changes how fleet operations run. Check this short video to see how 𝗗𝗮𝘀𝗵𝗯𝗼𝗮𝗿𝗱 𝗦𝘁𝘂𝗱𝗶𝗼 𝗶𝗻 𝗜𝗼𝗧 𝗤𝘂𝗲𝗿𝘆 delivers: 🔹Live visibility across fleet and assets, 🔹KPIs and metrics in one unified workspace, 🔹Faster decisions with interactive, drill-down analytics, 🔹Dashboards tailored to roles and business goals. Access live operational data instantly, without exports or waiting. Watch the video 👇 #Telematics #FleetAnalytics #CustomDashboards #FleetManagement #GPStracking #Navixy

Do you ever catch yourself thinking: 𝘸𝘦 𝘢𝘭𝘳𝘦𝘢𝘥𝘺 𝘱𝘢𝘪𝘥 𝘧𝘰𝘳 𝘵𝘩𝘦 𝘥𝘢𝘵𝘢 — 𝘸𝘩𝘺 𝘢𝘳𝘦 𝘸𝘦 𝘴𝘵𝘪𝘭𝘭 𝘱𝘢𝘺𝘪𝘯𝘨 𝘧𝘰𝘳 𝘵𝘩𝘦 𝘭𝘰𝘴𝘴𝘦𝘴? One logistics business ran into exactly this. A refrigeration compressor drifted for six hours. Temperature sensors kept sending data the entire time. Three pallets were written off — not because the signal was missing, but because no one saw it early enough. Sensor monitoring was technically in place. In practice, it wasn’t reaching the people responsible for acting on it. They didn’t replace systems or start a new IT project. They simply changed how sensor data is presented to supervisors. Now, temperature and humidity readings across all zones are visible in real time, alerts appear as soon as values move outside acceptable ranges, and any incident can be traced back in minutes using historical logs. Read the full case: to see how they did it.

What if you could ask your fleet platform a question and get the answer right away? With the Navixy AI Assistant embedded as a User application, teams can get quick answers from platform data using natural-language requests. That means less manual searching, fewer clicks, and faster access to operational insights. In the carousel, we’re sharing examples of the questions the assistant can answer. It’s very easy to integrate the AI Assistant into the platform, and we’ve prepared a step-by-step guide. Read the full article on our blog: https://lnkd.in/dA5Ktrxt #Navixy #AIAssistant #Telematics #FleetManagement #AI #UserApplication