This paper seeks to identify the contributions of artificial intelligence (AI) to supply chain
management (SCM) through a systematic review of the existing literature. To address the …

The importance of customer-oriented marketing has increased for companies in recent
decades. With the advent of one-customer strategies, especially in e-commerce, traditional …

For new product development, previous segmentation methods based on demographic,
psychographic, and purchase behavior information cannot identify a group of customers with …

The restaurant technology market is rapidly evolving and is transforming the restaurant
business as a significant sector of tourism and hospitality. Enabled by artificial intelligence …

Background: The supply chain ecosystem is becoming fragile and difficult to manage due to
the complexities in its interlinked functions such as planning, procurement, production …

Data mining (DM) is the process of extracting knowledge from data. Knowledge from
customer behaviour segmentation is useful for companies in setting the target market and …

The CLV model is a measure of customer profit for a company that can be used to evaluate
the future value of a customer. The CLV model is a measure of customer profit for a company …

Purpose The purpose of this paper is to develop a customer online behaviour analysis tool,
segment high-value customers, analyse their online purchasing behaviour and predict their …

In view of the shortcomings of traditional clustering algorithms in feature selection and
clustering effect, an improved Recency, Frequency, and Money (RFM) model is introduced …

The aim of this research is to survey the current state of research related to the utilization of
AI in public services as indexed by Scopus. VOSviewer is used in this research to assess …