Abstract
Abstract With the development of e-commerce technology, the relationship between enterprises and customers has been completely changed. The core management concept of enterprises has gradually transformed from ‘product-centred’ to ‘customer-centred’. Adopting effective methods to classify customers, implementing different management and marketing schemes of customer retention and customer upgrading will play an important role in promoting the development of e-commerce enterprises. Therefore, the classification of e-commerce customers based on Back Propagation (BP) neural network is studied in this work. Firstly, the theoretical basis of customer classification is summarised in the Introduction and theoretical part. Then, a classification index system of the e-commerce customer is constructed, and on this basis, a classification model of the e-commerce customer based on the BP neural network is constructed. Finally, the results of classification are analysed with related data.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.