Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
10322441 | Expert Systems with Applications | 2012 | 8 Pages |
Abstract
A good relationship between companies and customers is a crucial factor of competitiveness. Market segmentation is a key issue for companies to develop and maintain loyal relationships with customers as well as to promote the increase of company sales. This paper proposes a method for market segmentation in retailing based on customers’ lifestyle, supported by information extracted from a large transactional database. A set of typical shopping baskets are mined from the database, using a variable clustering algorithm, and these are used to infer customers lifestyle. Customers are assigned to a lifestyle segment based on their purchases history. This study is done in collaboration with an European retailing company.
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
V.L. Miguéis, A.S. Camanho, João Falcão e Cunha,