Paper Contents
Abstract
Fashion stores are very popular and it is important for businesses to understand their customers and interact well with them. This has led to advances in customer relationship management (CRM) technology, improving customer experience and increasing retailersprofitability. Existing solutions often recommend popular products but do not have an individual approach. This study shows the agreement between fashion stores using different methods to distribute product and user information in physical and online stores. It solves the "cold start" problem in existing systems by using data mining technology to predict the purchasing behaviour of new customers.
Copyright
Copyright © 2024 Dnyaneshwar Vitthal Ghadge. This is an open access article distributed under the Creative Commons Attribution License.
