AI Supply Distribution Optimizer
This AI solution uses AI and machine learning to optimize end‑to‑end distribution planning for manufacturers, from inventory positioning and production allocation to logistics routing and capacity planning. By continuously modeling constraints, risks, and demand signals, it recommends optimal distribution strategies that improve service levels, cut transportation and holding costs, and increase supply chain resilience during disruptions.
The Problem
“Constraint-aware distribution plans that cut logistics + inventory cost while raising OTIF”
Organizations face these key challenges:
High expedite spend and premium freight due to late re-planning
Inventory imbalances (stockouts in one region, excess in another) despite “good” forecasts
Planners spend hours reconciling constraints across ERP/WMS/TMS spreadsheets
Disruptions (supplier delays, port congestion, capacity cuts) cause cascading misses in OTIF