Technology Brilliance

Predictive Parts Planning for Two-Wheeler Manufacturers

Two-Wheelers & Three-Wheelers

Customer 

A leading e-2W manufacturer operating across a growing dealer network, particularly in high-growth rural markets. 

Technology 

Telematics Usage Data, Demand Forecasting, Predictive Analytics, Dealer Sell-Through Data, Predictive Parts Allocation 

Business Objective 

The client sought to improve service parts availability and protect service revenue by addressing recurring parts stock-outs across its dealer network. 

Key objectives included: 

  • Improve service parts planning and availability. 
  • Reduce recurring dealer-level stock-outs. 
  • Use telematics and dealer sell-through data for demand forecasting. 
  • Improve first-time-fix rates through better parts availability. 
  • Strengthen visibility into parts demand across the network. 

Scope of services 

BXI Technology implemented a predictive parts-planning approach that connected telematics usage data with dealer sell-through patterns to improve demand forecasting and parts allocation. 

The engagement included: 

  • Analysis of telematics usage data. 
  • Integration of dealer sell-through patterns into demand planning. 
  • Predictive demand forecasting for service parts. 
  • Predictive parts-allocation modelling across the dealer network. 
  • Identification of components requiring prioritization in future production runs. 

Benefits 

  • Fewer service parts stock-outs at dealer counters. 
  • Faster first-time-fix rates. 
  • Improved service parts planning. 
  • Better visibility into component demand. 
  • Clearer production prioritization based on actual usage patterns. 
  • Improved service availability across the dealer network. 

Impact 

BXI Technology helped the client move from reactive parts planning toward a predictive model driven by telematics and dealer demand signals. The approach reduced stock-out risks, supported faster service resolution, and provided clearer intelligence on which components to prioritize in subsequent production cycles. 

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