Manual routing leaves 15-25% of fuel and transportation cost on the table. Industry top-quintile drivers achieve 37% better fuel efficiency than bottom-quintile on identical routes — proving that routing and behavior together drive outcomes.
Mathematical optimizers evaluate route permutations against multi-constraint objective functions. Real-time re-optimization adjusts during the day as traffic, weather, and order changes occur. Driver behavior signals from telematics feed back into the model.
VRP optimizer + metaheuristic engine + reinforcement learning model + real-time traffic and weather feeds + ELD-aware HOS layer.
Central TMS orchestrating route planning, carrier selection, consolidation, execution, and settlement on a single rate-table-driven engine.
Order locations, time windows, and vehicle data required for VRP.
Electronic Logging Devices auto-capturing engine status, GPS, and HOS compliance from the ECM — mandated for ~3.4M US commercial drivers.
HOS constraints from ELDs required for driver-aware routing.
Cross-modal tracking platform aggregating GPS, ELD, AIS, and IoT into a normalized feed with predictive ETA, exception alerts, and control tower.
Real-time traffic and location feeds required for in-day re-optimization.
Nothing downstream yet.
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