How a Global CPG Automates Supply Chain Demand Forecasting with Agentic AI
Excel-Built Forecasts Stall Supply Chains In a leading global beverage company, weekly demand forecasting felt like a spreadsheet battlefield. Demand planners stitched data from SAP, Databricks, and scattered Excel files. The manual cycle was slow, clunky, and error-prone. Forecast accuracy hovered around 70%. A 30% SKU-level error causes costly stockouts or bloated inventory. This problem spans the industry,CPG forecasting errors cost billions, erode margins, and hurt customer satisfaction. Why
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- Productivity
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- CrewAI
Specialists intervene only for exceptions, cutting routine work from hours to minutes.
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