A workflow blueprint that combines demand forecasts, on-hand inventory and open PO arrival dates before a planner reviews proposed replenishment. It is not a claim of a completed client deployment.
The workflow problem
Food wholesalers may plan hundreds or thousands of SKUs per cycle. A forecast alone misses on-hand inventory, open purchase orders, arrival dates, case packs and shelf life, creating duplicate orders or missed replenishment windows.
Potential inputs
SKU master, sales/shipments history, promotions or seasonality, on-hand stock, open PO quantities with ETA/ETD, supplier lead times, MOQ, case packs and expiry rules. The business confirms field definitions and refresh timing.
Agent planning steps
1) Import and reconcile SKU/supplier records. 2) Prepare demand forecasts for the agreed horizon. 3) Compare forecasts with on-hand inventory. 4) Account for open PO quantities and expected arrival dates when calculating projected availability. 5) Apply MOQ, case-pack, expiry and promotion rules. 6) Produce SKU-by-date reorder suggestions and exceptions.
The planner owns the buying decision
A manager or planner reviews demand assumptions, open PO arrivals, shortage/overstock risks and supplier constraints, adjusts quantities and approves. A pilot can produce suggestions or approval-ready files; automatic PO creation needs separate scope and permissions.
Outputs and pilot measures
Possible outputs include SKU-level suggestions, projected inventory timelines, data-gap flags and review-ready order files. Measure planning-cycle time, accepted/changed recommendations, shortage/overstock exceptions and forecast error against a baseline; do not assume a specific improvement.