A shopper planning a birthday party might remember the cake and forget the plates. At Groceryshop 2026, DoorDash described how its AI shopping assistant could catch that missing item before checkout.

It is a small example of a bigger change in grocery. Shopping tools are getting better at understanding what people are trying to do, not just what they type into a search bar. A shopper may soon spend less time building a basket item by item and more time reviewing suggestions that are already there.

That makes shopping easier. It also raises expectations for everything that happens next.

The basket is starting to build itself

Instacart, Kroger, DoorDash, and Misfits Market all discussed ways to make grocery shopping more useful through AI. The focus was on everyday tasks: planning a meal, remembering an item, finding a relevant product, and getting through checkout with less effort.

Misfits Market reported that 60% of its customers’ carts are automatically filled and left unchanged. DoorDash said shoppers using Ask DoorDash spend 50% more per order and check out five times faster than its average user. Both figures were reported by the companies at Groceryshop, but they show why retailers are paying attention to this shift.

The most useful AI may be the kind a shopper barely notices. It helps them get dinner on the table or avoid that second trip for plates, then gets out of the way.

Shoppers still decide what counts as value

A basket that builds itself has to reflect what matters to the person buying it. Price is part of that. So are quality, convenience, and confidence that the recommended products are right for the occasion.

Hy-Vee shared that it matched prices on its top 15,000 items against the lowest-priced retailers in its markets. With a competitive price established, it could give shoppers other reasons to choose its stores, including service and quality. Save a Lot spoke about being useful to its customers and using what it learns from them to shape assortment.

Those examples are a reminder that personalization needs context. A helpful suggestion for one household may be too expensive, inconvenient, or simply wrong for another. Grocers that understand those differences can make shopping easier in ways customers actually value.

Someone still has to deliver on the basket

This was the connection we kept coming back to at Groceryshop. Better discovery puts more pressure on the information and work behind each order.

DoorDash pointed to accurate product catalogs as a priority for AI shopping. P&G discussed the need to connect retail media with supply chain and in-store execution. If a product is recommended or promoted, shoppers expect it to be available when they want it.

That expectation reaches into daily store operations. Teams need to know what is on hand, order what is needed, and act when conditions change. Good data matters because it helps people make those decisions with confidence.

Cardenas Markets’ work with Upshop shows what that looks like in practice. Its stores had relied on manual ordering and separate tools, while some dairy and deli suppliers delivered more than stores needed. Cardenas tested a single ordering system in three stores before expanding it across the business. The company reports more accurate orders, less shrink, faster inventory turns, and leaner back rooms. Shoppers may never see how an order gets placed, but they notice when the products they came for are on the shelf.

Groceryshop offered an exciting look at how people may shop in the years ahead. The basket may get smarter, and the path to checkout may get shorter. For grocers, the work is to make sure the products, information, and store teams behind that experience can keep up.