| With the development of social economy and information technology, most of the chain enterprises have established their own goods invoicing system to collect a large number of historical data the customer bought. The operators can analyze these data through mining technology and find out valuable, timely information to make marketing decisions. This paper is to study the application of mining technology in maternal and child supplies chain enterprises. The main contents are the followings: The design of maternal and child supplies sales analysis system, it consists of data pretreatment system, merchandise sales statistics analysis subsystem, commodity sales analysis subsystem and sales forecast etc. the application of Apriori algorithm in commodity sales optimization subsystem, it improved the efficiency of searching and frequent customer purchase goods from two angles of the number of records and the candidate item sets in the database The use of dynamic ordering dichotomy in the sales forecast subsystem the establishment of decision tree of commodity sales forecasting to all types of merchandise sales in maternal and child supplies chain enterprises by using ID3algorithm.This paper analyzes the sales data from July,2009to July,2012in Beingmate manufacturing chain enterprises by using the maternal and child supplies sales analysis system and provides help for the enterprise management and management decision by means of the application of the results of the analysis and forecast information in the enterprise. |
