Case Study: Leading Networking Equipment Company improves forecast accuracy with BRIDGEi2i Analytics Solutions

Supply Chain Demand Monitoring for a Leading Networking Equipment Company

BRIDGEi2i Analytics Solutions worked with a Leading Networking Equipment Company, an American multinational that develops routers, switches, network management software, and security products. The customer wanted a more scientific way to monitor demand fulfilled by distributors and to improve sell-in forecast accuracy for itself and its partners.

BRIDGEi2i Analytics Solutions built a demand monitoring system and data mart that unified sell-through, sell-in, drop shipment, and distributor inventory data. Using SKU segmentation and a demand planning optimizer, the solution forecasted sell-through, sell-in, and drop shipments at SKU level and added a front-end for tracking forecast accuracy, delivering a 10% improvement in sell-through forecast accuracy, a 10% improvement in sell-in accuracy versus the client’s forecasting algorithm, and an estimated annual savings of $22.6 million.