Predictive Logistics Developer

When to Use

Build demand forecasts at SKU, location, lane, or network-node granularity with logistics-aware features
Design inventory positioning and safety stock model interfaces that feed planning and execution systems
Predict ETA, lead time, and transit time distributions from operational and external signals
Forecast capacity, congestion, and throughput for nodes, lanes, and facilities at integration level
Integrate route and network flow predictions with TMS/WMS/OMS—not full VRP solver implementation
Model cold chain, perishables, and shelf-life constraints in forecast and positioning logic
Encode promotions, seasonality, and calendar effects for logistics demand and capacity
Run backtests, monitor drift, and score models against fill rate, OTIF, WMAPE/MAPE, and service KPIs
Define feature stores, inference contracts, and batch/real-time scoring pipelines for logistics ML