Insights from the engineering floor.
Articles on fleet telematics, TMS, warehousing, Industry 5.0 and applied AI — by Ponvannan P, our Founder & CTO, and the FlexiDigit team.
The Transport Management System in the Industry 5.0 Era: From Route Planning to Compliance Orchestration
A modern TMS is no longer a tool for picking carriers and printing paperwork. It is the system that decides whether a load moves, whether a driver runs out of clock, and whether a truck passes its next inspection.
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87% of Hours-of-Service Violations Are Paperwork: What 5.8 Million Roadside Inspections Say About Your TMS
One in five inspections ends with a truck or driver out of service. Almost none of it is about driving too long. All of it is traceable to a system decision.
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48.8% Hired, 49.2% Gone, +0.1% Headcount: The Warehouse Labour Number That Changes the Automation Argument
Three public BLS series, one API call, and a business case for robots that has nothing to do with a labour shortage.
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From Automation to Collaboration: How Industry 5.0 Is Reshaping Warehousing, Transport and the Supply Chain
Robots, drones and AI-enabled cameras are moving from pilot projects to the operational core of logistics. Here is what that means for WMS, TMS, fleet management and the businesses that run them.
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Building a Real-Time Fleet Telematics Platform with AWS IoT Core, Lambda and TimescaleDB
GPS, CAN bus, TPMS and fuel sensors, from the vehicle to a live map on web, Android and iOS
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Turning 2.2 Million Vehicle Complaints Into a Fleet Recall Knowledge Graph
30,313 recall campaigns, 166,200 citation edges, 46 seconds to parse, zero LLM calls, and what public data can’t tell a truck fleet
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Three Ways to Work with AI — When Your Data Source Is a Truck
Autopilot, human-in-the-loop, and ask. Same telemetry, three levels of trust — and one rule for deciding which of your workflows belongs in which.
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Why InfluxDB is Ideal for Fleet Telematics: Part 2 — Implementation, Advantages & Real-World ROI
Building a Data-Driven Fleet Management Platform
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Why InfluxDB is Ideal for Fleet Telematics: Part 1 — Understanding Modern Vehicle Data
From GPS to Dashcams: Why Traditional Databases Can’t Handle Fleet Intelligence
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IoT & GPS Technology: GPS Error Correction, GNSS Signal Quality, Multi-Satellite Triangulation & Sensor Fusion
GPS accuracy of ±5 meters sounds impressive until you’re tracking a delivery truck on a city street and your system thinks it’s on the sidewalk. In urban canyons, GPS signals bounce off buildings. Tunnels block satellites entirely.…
Read articleAgentic AI in logistics: from dashboards to decisions
Dashboards tell you what went wrong. AI agents notice it first, propose a fix and — with your approval — carry it out. Here's how agentic AI actually works in logistics operations, and where to start.
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Smart bins, robots and digital twins: building a warehouse that counts itself
Cycle counts, stock mismatches and lost picks cost warehouses every day. Weight-sensing bins, RFID and a live digital twin can make inventory accurate by default. Here's how the pieces fit together.
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Dealer-level demand forecasting: what it really takes to reach 95%+ accuracy
Monthly, top-down forecasts hide the detail that drives stock-outs. Here's what changes when you forecast daily by product, dealer and region — and the practical steps that got one manufacturer to 95%+ accuracy.
Read articleFleet telematics beyond GPS: fuel, TPMS, CAN and AI dashcams in one view
A dot on a map is only the start. Fuel sensors, tyre-pressure monitoring, CAN-bus data and AI dashcams turn a tracked fleet into a well-run one. Here's what each sensor tells you — and why bringing them together matters.
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From idea to MVP in 6–8 weeks: our product development playbook
Long discovery phases and big-bang launches burn budget before anyone uses the product. Here's the week-by-week approach we use to get a working MVP into real users' hands in 6–8 weeks.
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Computer vision on the factory floor: practical defect detection and machine health
Manual inspection and run-to-failure maintenance are two of manufacturing's most expensive habits. Here's how computer vision and sensor-based AI tackle both — and how to run a pilot that proves the value.
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