AI agents: Supply Chain
8 production-ready agents in Supply Chain. Each one describes what it does, a practical example, the effect month by month, a payback calculation tied to a real role, and the systems it reads data from.
Builds optimal delivery routes based on addresses, time windows, and load.
Compares orders with available stock and reserves goods for shipment.
Compares GPS data, refueling records, and fleet norms, identifies fuel siphoning and inefficient routes.
Builds vehicle routes between distribution centers (DCs) and points, considering time windows.
Monitors storage and transport temperatures for temperature-sensitive preparations and signals violations.
Identifies growing and declining SKUs, cannibalization, and candidates for discontinuation.
Calculates raw material and packaging needs based on the production plan, maintains safety stock, and generates replenishment requests up to the reorder point.
Plans the distribution of supplies across tanks and oil depots based on demand forecasts and contractual schedules, avoiding overfilling and capacity shortages.