As the retail sector approaches 2026, technological advancements such as AI agents, data modernization, and workforce transformation are fundamentally altering store operations and customer interactions. Retailers are urged to adapt their strategies to ensure outcome-driven engagement, supported by federated architectures and real-time data governance frameworks. The emergence of autonomous AI agents is gaining traction, with a significant number of IT leaders exploring their potential. These agents are being employed for tasks like inventory management, checkout automation, and enhancing customer experiences. However, many retailers are not fully prepared for this shift, particularly at the store level, and face challenges related to security, compliance, and data modernization. Retailers are increasingly relying on their partners to navigate these changes. Consumers now expect seamless, personalized interactions, prompting retailers to adopt unified data platforms and predictive analytics. To fully harness AI’s benefits, a robust data modernization strategy is essential, enabling real-time data access and processing through modern infrastructure like cloud and edge technologies.

