Apparel Inventory Control Strategy Of Metersbonwe Apparel Based On Big Data

With the development of e-commerce,The sales of apparel brand store is facing bigger challenges.This article set Metersbonwe company as the main research object raise a new method for forecasting inventory risk. It is according to the characteristics and the requirements of stores, using IBM SPSS modeler statistical software as a tool, based on historical data and real-time data,comprehensive analysis and identification of individual product SKU’s sales progress. Eventually it forms a new retail business control system.The paper analyse Metersbonwe status quo of retail inventory and the problem, studied the retail inventory control strategy, bring out a implementation path of inventory control strategy.It researched into the following aspects, Firstly, with the historical sales data,especially transaction data and integrating, obtain the sales curve for each product category in the time-latitude. Secondly, with the collecting and analysis inventory of the product categories,it is enable to evaluated the profitability analysis and the impact to the company. Finally, after collecting real-time transaction data and inventory, it forecast sales and inventory for a single product risk probability by comparison.,Analyzing this subject uses a variety of ways to know more about inventory dealing methods and ways home and abroad, such as practical cooperation, marketing research, network gathering and literature review with Metersbonwe storesThe paper analyzes the application of data mining technology in forecasting and inventory controlling. It sets up a price-adjusting system that applies to traditional apparel stores retail, and provides practical reference for its operation.