Case Study: Leading Commercial Vehicle Manufacturer achieves 19% higher forecasting accuracy with BRIDGEi2i Analytics Solutions

GAP Analysis & Parts Potential Forecast for Automotive Giant

India’s leading commercial vehicle manufacturer needed better gap analysis and demand prediction for spare parts consumption across regions, segments, and vehicle models. The goal was to account for business rules, historical patterns, vehicle sales, and failure probabilities to improve spare parts planning. BRIDGEi2i Analytics Solutions supported the effort with an analytics-led demand planning solution.

BRIDGEi2i Analytics Solutions built a front-end planner tool and a Demand Planning Watch Tower to provide visibility into parts and dealer performance across 8,765 parts. The solution included data rollups, master data creation, failure and repair metrics, inventory and criticality classification, and demand forecasting algorithms, which were turned into a Champion Model. The deployment delivered a 19% increase in overall accuracy, a 38% improvement in accuracy for highly critical parts, and better visibility across the dealer network.