Abstract

The tender of Artificial Intelligence (AI) in the retail sector is covered in this study. It centers on the process of determining the
significance and function of AI in retail enterprises. It highlights significant flaws in current approaches that cannot handle the
unique characteristics and complexity of a retail setting. This study suggests using some of the current Fuzzy Complex to
analyze a manufacturing-based approach that provides an accurate understanding of the issue and application flexibility.
Around 400 publications published during have been subjected to bibliometric analysis by the research. It provides keyword cooccurrence
analysis in addition to bibliometric analysis. Six key research highlights consumer behavior, AI in retail marketing,
corporate performance, sustainability, supply chain management, and trust are shown by this investigation. The study focuses
on how artificial intelligence is altering how retail companies operate. It offers data-driven insights on topics including target
marketing, customer experience, and operational effectiveness. But it also highlights the obstacles to AI adoption, including
worker competence, cost, and managerial opposition. It carries on the conversation about how AI's function in retail may be
maximized by evaluating current approaches and offering customized strategies for future research avenues that are expected
to further investigate the evolution of AI technologies in retail environments. Because of this, methodological advancement is
thought to be required to rise the efficacy of AI applications and ultimately promote innovation and competition in the retail
sector.