Reinforcing customer journey through artificial intelligence: a review and research agenda

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 customer journey to explain the customers’ intent to adopt artificial intelligence (AI) and machine learning (ML) as a protective measure for interaction between the customer and the brand. Design/methodology/approach – This study presents a research agenda from a three-dimensional online search, ML and AI algorithms. This paper enhances the readers’ understanding by reviewing the literature present in utilizing AI in the customer journey and presenting a theoretical framework. Findings – Using AI tools like Chatbots, Recommenders, Virtual Assistance and Interactive Voice Recognition (IVR) helps create improved brand awareness, better customer relationships marketing and personalized product modification. Originality/value – This study intends to identify a research plan based on investigating customer journey trends in today’s changing times with AI incorporation. The research provides a novel model framework of the customer journey by directing customers into different stages and providing different touchpoints in each stage, all supported with AI and M