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 …

Even though machine learning (ML) applications are not novel, they have gained popularity
partly due to the advance in computing processing. This study explores the adoption of ML …

Big social data and user-generated content have emerged as important sources of timely
and rich knowledge to detect customers' behavioral patterns. Revealing customer …

This study explores the complex dynamics of consumer behavior in the UK retail industry
using advanced analytics. We developed a preprocessed retail dataset including 495,478 …

Providing the right products, at the right place and time, according to their customer's
preferences, is a problem-seeking solution, especially for companies operating in the retail …

Nowadays, every business focuses on customer relationship management (CRM) to deliver
their customers better services and to establish a competitive advantage over their …

Consumer segmentation is vital for companies to customize their offerings effectively. Our
study explores the application of Large Language Models (LLMs) in marketing research for …

Despite the relentless growth of online retail, e-commerce platforms still suffer from a low
purchase conversion rate. Researchers and practitioners have attempted to understand …

Finding the target consumers for a business depends heavily on its market segmentation
approach. Applying clustering analysis to consumer segmentation is one of the most …