Case Study: Fortune 500 Global Enterprise Technology Hardware Manufacturer achieves higher sell-through forecast accuracy with BRIDGEi2i Analytics Solutions

Increased Sell-Through Accuracy Using Forecasting Engine

Fortune 500 Global Enterprise Technology Hardware Manufacturer worked with **BRIDGEi2i Analytics Solutions** to address low forecast accuracy across a massive distributor network spanning 120 countries. The company was generating around 50,000 monthly forecasts, but its existing demand planning software could only deliver about 45% accuracy at a 3-month horizon.

**BRIDGEi2i Analytics Solutions** implemented a customized Forecasting Engine using 32 multivariate and causal forecasting models, integrated into the client’s existing planning environment. The solution used machine learning to identify the best model for each SKU x Distributor x region and was designed to deliver a predictable accuracy value-add over the existing forecast process, improving decision-making at scale.