AI Agents Get to Work in Retail

AI agents are revolutionizing the retail industry, moving beyond simple shelf and screen competition to manipulate data feeds and API endpoints. Retailers with the most machine-readable, real-time product data will gain a competitive edge as agents recommend products based on that information. Personalized recommendations, auto-replenishment, and seamless purchases are now possible without human intervention.

According to a NRF article, digitally influenced sales are already exceeding 60%, with this percentage expected to grow as AI agents become more prevalent.

Retailers are racing to adopt AI agents, with the industry giants investing heavily in the technology. The key to success lies in having accurate, clean data, as fragmented data across different channels hinders AI model optimization. Retailers must decide the level of openness they are willing to provide to agents, ranging from fully closed to fully open.

Companies with sufficient market clout could consider building dedicated agent-facing infrastructure, optimizing feeds for visibility and inclusion in agent recommendations.

Retailers that have embraced AI-native operations are already pulling ahead, such as the Apparel Group. This company rebuilt its operating model around AI, transforming every layer of the retail workflow. AI-driven forecasting, allocation, and replenishment are live across major brands, while pricing intelligence optimizes sell-through and margins.

AI-driven shift scheduling improves workforce planning, allowing employees to focus on higher-value tasks. By becoming an AI-native enterprise, companies can reshape how decisions are made, ultimately changing the retail landscape forever.