Case Study: a global consumer goods manufacturer improves forecast accuracy with Greenbook's predictive forecasting solution

Global Consumer Goods Manufacturer cuts stock-outs and inventory with Greenbook

The global consumer goods manufacturer faced a significant challenge as post-pandemic market shifts eroded the predictive power of its existing forecasting models, leading to stock-outs and overstock issues. This breakdown in demand signals put immense pressure on margins and working capital, jeopardizing annual production and investment planning. To address this, the manufacturer engaged vendor Greenbook and SIS International Research to develop a more reliable predictive forecasting solution.

Greenbook implemented a predictive forecasting program built on an integrated data architecture that combined the client's internal data with external market signals. The solution utilized a layered modeling approach to produce accurate, SKU-level demand projections. As a result, forecast accuracy improved materially, especially for promoted and seasonal items. This enabled the client to rebalance production, refine trade promotions, and reduce safety stock, leading to a decrease in working capital tied to inventory and a meaningful reduction in stock-out incidents.