IoT enabled fleet and warehouse management

Our IoT fleet and warehouse management solution gives logistics teams real-time visibility into trucks, shipments, and warehouse operations. By uniting live telematics, optimized routing, and scanner-guided tasks, it cuts errors, speeds deliveries, and improves customer satisfaction. Paper based picking leads to mistakes and slow deliveries, and manual route planning ignores live traffic. We delivered a .NET solution that brings live telematics, optimized routes, and scanner guided warehouse tasks into one system. Customers can track shipments easily, and operations can focus on exceptions rather than guesswork. This is where a practical software development company adds value, by balancing devices in the field with reliable cloud services. With IoT fleet and warehouse management, logistics teams know where trucks are, what’s on them, and what’s happening inside warehouses.

Challenge

• Low real time visibility: Dispatchers could not see current locations, driver behavior, or warehouse task status, which made planning reactive.
• Inefficient routing: Routes were created by hand, which missed better options and increased fuel costs.
• Picking errors: Paper slips and delayed confirmations caused mis picks and returns.

Solution

• Telematics integration: GPS and onboard diagnostics send speed, fuel, and driving events into a live map with geofences and alerts.
• Route optimization: An engine builds routes that respect time windows, capacity, driver hours, and traffic, explained simply as the best route for time and cost.
• Warehouse workflows: Handheld scanners guide receiving, putaway, and picking, with instant validation to catch errors before they ship.
• Customer portal: Shipment status and estimated arrival times are shared in real time, with digital proof of delivery.

The IoT fleet and warehouse management system ensures drivers follow optimal routes while warehouse staff process orders accurately.

Implementation

• Secure device onboarding: Every device gets a unique identity, heartbeat checks, and safe over the air updates.
• IoT data flows: Hot paths trigger alerts immediately, cold paths store data for analysis. This keeps urgent events fast and history affordable.
• Mobile apps for the field: .NET MAUI apps work offline and sync later, which is essential for areas with poor connectivity.
• Control tower monitoring: Dispatch sees SLA risks early, can reassign tasks, and follows playbooks when issues occur.
• Cost and reliability: Adaptive sampling reduces unnecessary data and smart retries handle patchy networks.

Tech stack

• Backend: .NET 8, ASP.NET Core, gRPC, SignalR
• IoT and data: Azure IoT Hub, MQTT, Azure Stream Analytics, Azure SQL or SQL Server, Azure Data Explorer
• Optimization and maps: OR Tools, Azure Maps
• Mobile: .NET MAUI with SQLite for offline storage
• Observability: Application Insights, Azure Monitor, Grafana

Call to action

Want clearer visibility from warehouse to last mile without adding complexity. Optimize with Cloudester Software at https://cloudester.com or email [email protected]