| As the backbone of retailing industry,small and medium sized supermarkets have played an important role in community service all the time.Faced with cruel competition,if small and medium sized supermarkets want to make a big breakthrough,they need to allocate resources reasonably and to decrease storage for rapid funds movement,meanwhile,to monitor customers' purchasing habits for better recommendation and racking strategies.The inventory management and goods recommendation system designed in this thesis includes 5 main parts: User Login Module,which verifies identification and authority;POS Cashiering Subsystem,which realizes sales recording and data transportation;IMS Information Management Subsystem,which collects relative personnel information;SMS Stock Management Subsystem,which contains goods racking and out-of-stock purchasing,etc.;GRS Goods Recommendation Subsystem,which is based on goods info,user info,and preference info,is computed through CF and Apriori algorithms,to achieve customized goods recommendation.As to thesis outline,firstly,to display module functions and relations by UML and data flow graphs;secondly,based on SCM theories,Order Point Method,EOQ(Economic Lot Size)Principle,to instruct daily activities,like shelf replenishment,out-of-stock purchasing,etc.;thirdly,based on User-based CF(Collaborative Filtering)and Association Rule algorithms to design goods recommendation process;and then,based on ER graph and Class diagram to finish programming design;finally,to build SQL Server2008 data base,and to show testing results by adopting.Net platform.C/S structured system is interface-friendly and operationally easy,which can meet small and medium sized supermarkets' needs of basic daily activities like goods information management,goods selling,stocking,goods racking,out-of-stock purchasing,etc.besides,based on customer behavior data analysis,can optimize sales services and racking methods,which will do good to customer satisfaction. |
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