A general automobile dealer manages 1,500 4S stores of 3 brands and needs different business policies for assessment.However, limited by the inaccurate demand forecast of DIMS system, the lower-level dealers often orders by themselves, causing inventory backlog and cost pressure.
Digital China developed a demand forecast and inventory optimization model by analyzing the purchasing data of this dealer. Under this model, the customer can make reasonable demand forecast and inventory optimization strategy for spare parts of different scenarios and purposes, Besides, by virtue of this model’s inventory simulation and back-testing, business personnel can take easy to view the business dynamics through the model and receive reference basis for business adjustment.
The project helps customers establish demand and inventory management strategies for different spare parts, regions and business scenarios.