AI agents won’t transform commerce until retailers redesign how decisions get made (www.techradar.com)

Retailers are focusing heavily on developing AI agents for customer interactions, but there’s a critical oversight in their operational readiness. While companies like Google, Shopify, and Amazon try to create advanced interfaces for seamless AI-driven shopping experiences, the underlying structure of most retail organizations is ill-equipped for such automation. The transition from AI suggesting products to AI executing purchases requires a solid understanding of decision ownership, data flows, and operational accountability—areas where many retailers currently lack clarity. The gap between the hype of agentic AI and the reality of fragmented internal systems could lead to increased confusion rather than efficiencies. For AI agents to function effectively, retailers must establish a dynamic “digital twin” of their operations, ensuring that internal data sources are compatible and reliable. Ignoring this entails the risk of automating flawed processes, leading to rapid errors that could exceed human oversight. As the importance of operational and data readiness becomes apparent, retailers are urged to map decision-making processes thoroughly and build their digital infrastructures to prevent chaos in automated systems. Ultimately, the success of AI in retail hinges on rigorous internal preparation and embracing intelligent workflows that can scale without amplifying complexity.