From Forecast Accuracy to Connected AI-Assisted Planning in CPG

AI is shifting CPG planning beyond isolated improvements in forecast accuracy. Chandan kr J. outlines how statistical forecasting, anomaly detection and explainability can support a broader planning environment connecting demand planning, supply planning, inventory and S&OP.

The post positions SAP IBP, SAP Business AI and Joule as enablers of planner productivity rather than replacements for human judgment. Planners remain responsible for scenarios, risk decisions and cross-functional trade-offs.

The operational test is whether AI recommendations remain valid when capacity, inventory, supplier commitments or planning assumptions change. Organizations therefore need governed data, clear decision ownership, validation rules and manual override mechanisms before moving toward more autonomous planning.