The development of technology in the field of business grows rapidly day by day. The use of
technology in business can help company deploying best business strategies to compete …

Today's omnichannel business models incorporate physical and digital touchpoints
interacting with customers. A hyper-personalization strategy relies on the organization's …

Abstract Value-Added Services at a Mobile Telecommunication company provide customers
with a variety of services. Value-added services generate significant revenue annually for …

ABSTRACT Market Basket Analysis is an observational data mining methodology to
investigate the consumer buying behavior patterns in retail Supermarket. It analyzes …

For retail companies such as Gramedia stores, promotion and strategies to sell books are
important, so tools are needed to analyze past sales data. Gramedia does not yet have tools …

Market basket analysis allows analysts to understand the behaviour of customers. In this
paper, we propose a novel technique to generate the profile of a customer with regard to …

The proliferation of big data and the growth of e-commerce have intensified the challenges
associated with extracting actionable data for personalised recommendations and decision …

Association rule mining algorithms such as Apriori and FPGrowth are extensively being
used in the retail industry to uncover consumer buying patterns. However, the scalability of …

This article presents a study on utilizing the Apriori algorithm and Market Basket Analysis
(MBA) to reveal consumer buying patterns in supermarkets. The aim of this research is to …

This empirical study addresses the problem of Next Basket Repurchase Recommendation
(NBRR), an often overlooked aspect of Next Basket Recommendation (NBR). While NBR …