Context and objectives
A construction equipment company wanted to better anticipate the demand for parts and their return flows, to improve a whole series of business decisions, from inventory management to purchasing and sales.
Results
- The tool is used every day by supply chain experts and local agency directors.
- Stock value was reduced by 30%, while keeping parts availability and reference delivery lead times.
Our approach
Step 1: combine internal and external data
- Customer purchasing and rental history
- Parts trends and historical demand for parts
- Economic and real estate forecasts
Step 2: forecast
- Demand for parts and return flows
- Delivery lead times
Step 3: steer stock levels
- Stock level predictions built on the demand, return and lead time forecasts, to support inventory, purchasing and sales decisions
Our experts
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