© 2023 DEC 2023, Volume 1, Issue 1 (ISSN 3067- 4190) American Advanced Journal for Emerging Disciplinaries (AAJED) aajed.com 1 Agentic AI in Retail: A Paradigm Shift in Autonomous Customer Interaction and Supply Chain Automation Srinivas Kalisetty, Jeevani Singireddy Integration and AI lead, Sr. Software Engineer Abstract The landscape of retail is rapidly shifting with rising customer expectations and accelerated advancements in technology. Automation, Artificial Intelligence, Machine Learning, and Robotics play a crucial role in retail advancements, creating an agentic retail landscape. This essay assesses the paradigm shift of agentic AI applications in retail environments, emphasizing autonomous customer interaction in retail spaces and supply chain automation. Following an introduction outlining the context and significance of the study, a section is dedicated to the research analyses. This research uses examples and case studies of contemporary AI and robotics applications in retail environments to examine enhanced customer experiences and operational efficiency from the viewpoint of customer behavior and technology adoption. A vision of the evolving retail landscape created through increased implementation of agentic AI and robotics and future research directions on safe, ethical, and inclusive agentic retail environments are also addressed. Empirical studies largely addressed the benefits of technology implementation and enhancing consumer experience from the technological perspective. This essay, however, provides critical viewpoints on retail paradigm shifts, intersecting customer behavior, and advanced technologies. Selected case studies and example applications are based on recent technological advancements that shape future retail spaces. The discussion involves not only customer experience improvement but also operational efficiency, grounded in the transformation of customer roles in autonomous retail environments. Keywords: Agentic Retail, Customer Expectations, AI in Retail, Machine Learning, Robotics, Supply Chain Automation, Autonomous Retail, Customer Behavior, Technology Adoption, Retail Paradigm Shift, Operational Efficiency, AI-Driven Customer Interaction, Ethical AI, Inclusive Retail, Retail Automation, Consumer Experience, Future Retail Spaces, Case Studies in Retail AI, Retail Technology Advancements, Autonomous Shopping. 1. Introduction There is a decisive shift toward Agentic AI in the business, and it could not be more true than in the retail sector now. The dawn of the autonomous is upon the consumer sector, redefining retail in a manner not unlike the obsolescence of family-owned corner stores after the advent of superstores. For consumers, it will create a streamlined shopping experience that more deeply understands personal tastes and habits, speaks and listens, and inserts goods accordingly across all retail channels. The once tedious dialog of repetitive interactions that plague today’s customer interaction s and force consumer couriers, once the bulk of retail, will be seamlessly one of pleasure in the confines of their own AI and home. For retailers, the supply chain will be nearly entirely automated by Agentic AI networks behind shelves and warehouses, delivering a store-to-consumer experience unparalleled in operational efficiency with the stock under constant perfect levels, freshness, and presentation. With the clash of retail titans fully independent of workforce advantages rapidly intensifying, it is innovate or die for the majority that must keep apace through AI or close, leaving the supermarket and e-commerce monopolies in the West and East. The change in retail is the embodiment of what AI, as well as robotics, becomes for the majority of the economic and day-to-day life of people shortly, living and producing in a world increasingly filled with intelligent agents and learning networks that are aware of the common eye. The buying of products from the notice that their reserves were running short, the login, then search and checkout of transactions may pass as quaint in a few decades. However, the patience of the role of consumer and schemata memories to form subsequent behavior in the era of just-in-time life in which people live will be even more pronounced than today, and with ramifications not thoroughly understood. Therefore, as a guaranteed driver in part of the technological trends in retail, it can be a well-informed basis in the wider AI agenda to be pursued. A short deviation is made into aspects not directly