Design and implementation of an Automated market basket analysis system

Description

Abstract Market  Basket  Analysis  (MBA)  is  a  widely  used  technique among marketers to  identify  the best  possible combination  of products  or  services frequently  bought  by  customers.  The problem of  determining  customers preference  in  terms  of  items  purchased was  focused  on  the traditional and heuristics algorithms with limited factors in the past.  However  in  recent times  through  this study, building an automated  basket  analysis  system, will  help shop owners identify  customers  purchasing  behavior, patterns  and  identify the relationship between products and item purchased in order to maximize profit through the use of association rule mining. An   automated   MBA system  was  implemented  through  the  use  of  the spiral  model development  model and a  combination  of  HTML,  PHP  and MySQL as the programming environment to make this system web-based. The  Automated  Market  Basket  Analysis  System would  improve  on  search  methodologies  that  can  also  be  of help in generating recommendations for consumers though the association  rule  mining  algorithm  embedded  in  the  system. The provided results reveal that the obtained solutions seem to be more realistic and applicable.