The invention provides an e-commerce integrated
order management system, and relates to the technical field of e-commerce, and the
system comprises an
order processing module which is used for receiving, splitting, merging and updating order states, automatically optimizing order circulation, improving the
order processing efficiency, guaranteeing the real-
time synchronization of the order states, and reducing the
processing delay. In the invention, the
data analysis module analyzes user behavior data (such as browsing,
purchasing and returning) and market sales data in real time and predicts future commodity demands and sales trends by using the prediction model, and the
system can automatically provide a real-time report for an operation team based on the data, so that the user experience is improved. The module helps to adjust the inventory replenishment cycle,
sales promotion activities and commodity shelving plans, and has the core advantages that market changes are identified through
big data analysis, response measures are automatically generated, the
inventory management precision is improved, and the inventory overstock and
stockout conditions are reduced.