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 …

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 …

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 …

Data science has emerged as a pivotal force driving industry transformation in the
contemporary business landscape. The proliferation of data generated through various …

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 …

For companies, customer segmentation plays a key role in improving supply chain
management by implementing appropriate marketing strategies. The objectives of this …

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 …

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 …