Design of a Bicycle Sharing Inventory Scheduling System Based on Big Data Prediction

Abstract

In the context of the rapid development of the sharing economy, shared bikes as its representative products rise rapidly. Among many problems, the problem of bicycle stock scheduling is the most severe, which will directly bring great troubles to People's Daily life. This paper compares and understands various demand forecasting methods by minimizing the scheduling cost as the objective function. By using BP neural network, this paper provides reference for the following demand data of the shared bike stock scheduling system, and builds the shared bike stock scheduling system to solve this problem.