Case Study: a Fortune 100 CPG company improves tea shipment forecast accuracy with Fractal AI

A Fortune 100 CPG company used AI to improve the accuracy of forecasting for UK tea shipments

A Fortune 100 CPG company struggled with highly inaccurate monthly tea shipment forecasts at both the retailer and product (SKU) level. These significant fluctuations, driven by missing sales and promotional data, hindered promotions and supply chain planning. They partnered with the vendor, Fractal, to implement an advanced AI-based forecasting solution.

Fractal developed a solution using AI-driven feature engineering and neural network models, which were optimized and ensembled for precision. This approach significantly boosted forecast accuracy at both the retailer and SKU level. The results provided reliable insights that optimized inventory forecasting, reduced errors, and improved supply chain efficiency for the CPG company.