Stress-testing an AI-built IBP engine across 2,736 SKUs and 10 plants

Alain Matar reports testing an AI-built IBP application with 2,736 SKUs, 10 plants, 24 months of history, 3,492 open exceptions and $555.8 million in inventory value. Demonstrated modules include a planner workbench, ABC segmentation, statistical forecasting, an IBP dashboard and executive-review output.

Scale in record count is only one dimension of production readiness. The more important controls are calculation accuracy, repeatability, version control, exception ownership, user concurrency, data refresh, ERP reconciliation and recovery when interfaces or assumptions fail.