Answers are grounded in this paper and cite their sources.
This systematic review examines the evolving nature of AI-based retail transformation program management. With growing artificial intelligence technologies disrupting traditional retail business models, organizations face advanced implementation challenges requiring sophisticated program management techniques. This article integrates 2018 and subsequent studies of how program management practices have transformed to address the characteristic traits of AI retail programs, including technical complexity, cross-functional, and organizational significance. The review captures success factors, governance structures, risk management, and performance measurement approaches to AI retail transformation programs. The review also records the evolution of program management practices in balancing technological innovation with organizational change management, ethics, and customercentricity. The results document that effective AI-based retail transformation program management encompasses a hybrid technique that blends traditional program governance with agile, stakeholder management, and sophisticated AI capabilities. This review advances both academic literature and practical usage through systematic examination of program management practices specifically for AI retail transformation programs.
No takes yet. Share an insight, caveat, or question.
Borkar et al. (2025) studied this question.
Synapse has enriched 8 closely related papers on similar clinical questions. Consider them for comparative context: