At Groceryshop 2026, major grocery platforms revealed a fundamental shift in how consumers shop online. Instead of customers navigating categories and building baskets themselves, AI agents now construct orders based on stated outcomes—such as "dinner for four" or "high-protein meals." DoorDash's Ask DoorDash service, launched in June, already shows material impact: users now have baskets 50% larger than those built without the tool, check out five times faster, and buy 60% more unique items (RetailNews.ai). Kroger's AI Shopping Assistant, launched in July, helps customers plan meals and construct baskets around budget and dietary requirements (RetailNews.ai). Dutch grocer Albert Heijn's in-app AI chef, Steijn, has 1.1 million active users who spend 56% more than non-users (RetailNews.ai).
This shift has profound implications for commerce practitioners. The competitive question is no longer who has the best search bar, but who can build the most useful basket. Product data becomes strategically critical—retailers need clean, machine-readable information about price, ingredients, nutrition, and availability for AI agents to recommend products effectively. DoorDash noted that almost 95% of its customers choose an item with a good product description over one without (RetailNews.ai). Accenture research cited at the event found that 75% of global consumers would trust an AI agent more than their best friend, and 56% of loyal shoppers would switch brands if their agent recommended a better option (RetailNews.ai). For brands, this means retail media can no longer be treated as isolated campaigns; P&G called for 12- to 18-month joint plans that align supply, in-store display, and media (RetailNews.ai).
The broader context reveals retailers rethinking the entire shopping ecosystem. Instacart has processed 1.6 billion orders and carries two billion items in its catalogue (RetailNews.ai), positioning it as a data powerhouse for agentic commerce. As AI mediates the shopping journey, brands that fail to optimize product data, assortment, and availability risk being invisible to algorithmic decision-making—a new form of shelf competition beyond physical placement or search rankings.