Connect smart trucks with GPS tracking, telematics, fuel sensors, and traffic systems to create an intelligent fleet that self-optimizes routes and predicts maintenance needs.
Drivers use separate GPS apps, dispatchers manually assign routes, fuel tracking is paper-based, maintenance is reactive. Average 18% empty miles, frequent breakdowns.
Real-time route optimization considers traffic, weather, delivery windows, and vehicle capacity. Predictive maintenance alerts prevent breakdowns. Empty miles reduced to 6%.
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Unify robotics, RFID scanners, conveyor systems, and WMS into one intelligent platform that optimizes picking, packing, and inventory management in real-time.
Robots follow fixed paths, RFID data sits in separate database, manual cycle counts, picking routes not optimized. 73% warehouse utilization.
Robots dynamically reroute based on real-time orders, RFID provides instant inventory accuracy, AI optimizes storage locations and picking sequences. 94% utilization.
Connect suppliers, carriers, warehouses, and customers into one intelligent network with real-time tracking, predictive ETAs, and automated exception handling.
Track shipments from supplier to customer with live location updates and predictive delivery windows
AI identifies potential delays before they happen and automatically reroutes or notifies stakeholders
Analyze historical data and market trends to optimize inventory levels and prevent stockouts
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