
Problem Statement
The client, a leading CPG manufacturer in the food and beverages industry, faced persistent challenges in forecasting prices for key raw materials such as corn, wheat, and oils. Although an internal forecasting model existed, it consistently failed to capture price volatility accurately. This resulted in missed opportunities to procure commodities at optimal price points, higher procurement costs, and budget overruns. Vendor negotiations were also weakened due to unreliable forecasts—ultimately inflating the cost of goods and impacting profitability.
Impact
- Reduced raw material procurement costs by up to 5%
- Aligned expenditures closer to planned targets, lowering budget overruns by 30%
- Enhanced volatility capture decreased missed procurement opportunities by ~25%, enabling more purchases at favorable prices
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