How a Global Food & Beverage Company Raised Forecast Accuracy by 14–25%
A global food and beverage company could not see consumer demand beyond its distributors, which led to high channel inventory, stockouts and production inefficiencies. Anamind's demand planning solution lifted forecast accuracy by 14–25%.
Industry: Food & beverage · Business model: Consumer goods · Region: Global
What was getting in the way.
The company's ERP system gave little visibility of consumer demand beyond the distributor level, which made secondary sales and inventory hard to manage.
High channel inventory
Stock built up in the distribution channel.
Production inefficiencies
Weak demand signals made production hard to plan.
Stockouts
Products were not always available where customers wanted them.
What Anamind put in place.
Anamind worked with the company to implement a demand planning solution tailored to its needs.
Sales and inventory data brought together automatically.
Machine-learning forecasting for a more accurate demand plan.
Reports that show changes in demand as they happen.
What changed.
- Forecast accuracy increased by 14–25%, improving inventory alignment and reducing stockouts.
- Better demand signals made production planning more efficient, with less waste and downtime.
- Better product availability strengthened customer relationships and loyalty.
The full case study covers the challenge, the approach and the results.
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