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 …

I draw on a substantial body of theoretical and empirical research on machine learning tools,
algorithms, and techniques in retail business operations. With increasing evidence of online …

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 …

In this article, we cumulate previous research findings indicating that shopping by use of
artificial intelligence assistants can shape consumer behavior. We contribute to the literature …

This article reviews and advances existing literature concerning artificial intelligence
decision-making in shopping patterns. In this research, previous findings were cumulated …

Tracking the customer journey has become more challenging because of the changing
marketing environment. The market is getting bigger and better, with digital markets offering …

Purpose This study defines a three-angled research plan to intensify the knowledge and
development undergoing in the retail sector. It proposes a theoretical framework of the …

Artificial intelligence has been widely applied to e-commerce and the online business
service field. However, few studies have focused on studying the differences in the effects of …

There is genuinely something known as artificial intelligence (AI). There is certainly
something called consumer experience. How the two interact is of critical importance to …

Artificial Intelligence tools and processes have hugely impacted the ecommerce industry
and the satisfaction of online customers. With technology largely pervading all facets of our …