This research presents the use of machine learning analytics and metrics in the retailing
context. We first discuss what is machine learning and explain the field's origins. We then …

We document the evolution of academic research through a bibliometric analysis of 123
retail analytics articles published in top operations management journals from 2000 to 2020 …

A non-technical guide to leveraging retail analytics for personal and competitive advantage
Style & Statistics is a real-world guide to analytics in retail. Written specifically for the non-IT …

Decision-making in marketing has changed dramatically in the past decade. Companies
increasingly use algorithms to generate predictions for marketing decisions, such as which …

Artificial intelligence (AI) agents driven by machine learning algorithms are rapidly
transforming the business world, generating heightened interest from researchers. In this …

The rapid growth of e-commerce has increased the need for retailers to understand and
predict customer satisfaction to support data-driven managerial decisions. This study …

As the retail landscape undergoes a profound transformation in the era of digitalization, the
integration of Artificial Intelligence (AI) and predictive analytics has emerged as a pivotal …

As a research domain, the retail sector has always had many appealing features, such as its
size, its multi-faceted and dynamic nature, the possibility for researchers to exploit their own …

Based on an in-depth survey of the literature, the purpose of the paper is to explore data-
driven machine learning and neural network algorithms in the retailing environment. In this …

The inside scoop on boosting sales through spot-on analytics Retailers collect a huge
amount of data, but don't know what to do with it. Retail Analytics not only provides a broad …