The improvement of enterprise competitiveness depends on the ability to match segmented
customers in a competitive market. In this study, we propose a customer segmentation …

This paper explores the transformative role of predictive analytics in enhancing strategic
decision-making and business performance. It delves into the components of predictive …

In recent years, as digital transformation picked up stream, the volume of customer
transactional data that become available to companies has increased. By making use of …

Data-Driven approaches to improve customer experience in banking: Techniques and
outcomes Page 1 International Journal of Management & Entrepreneurship Research …

This paper explores the transformative impact of Big Data Analytics on Customer
Relationship Management (CRM), focusing on its role in enhancing customer engagement …

More than ever, enterprises today can make use of data, forecasting models, and intelligent
algorithms to optimise their marketing strategies and customise their campaigns to better fit …

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 …

An intriguing fresh development in digital marketing is the integration of artificial intelligence
(AI). This paper delves into this topic. Conceptually, AI involvement in app development is …

Clustering analysis is a powerful tool for discovering potential knowledge in datasets.
However, numerous existing clustering algorithms suffer from heavy reliance on parameter …

These days, modelling techniques for forecasting consumer behaviour based on historical
datasets are built utilising machine learning and deep learning, which are considered …