Kroger, Giant Eagle, and DoorDash’s AI Assistants: Retail’s Latest Overhyped Gimmick

Let’s cut through the autumn hype: Kroger, Giant Eagle, and DoorDash are all racing to slap “agentic AI assistants” on their tech stack, and this week, the trade press is drooling over every press release. The supposed revolution? Chatbots that recommend groceries, patch together your shopping list, or maybe even nudge you to buy more soup when the weather turns. This is not the future; it’s the same old digital lipstick on a brick-and-mortar pig.

The story making the rounds is that these retailers are finally bridging the gap between in-store shelves and online ordering. Nice theory, but here’s what’s actually happening: Kroger’s AI spits out generic suggestions based on half-baked purchase history. Giant Eagle’s “personalization” is a glorified autocomplete. DoorDash, desperate to squeeze more margin from every delivery, is betting that a chatbot can upsell you a $6 bottle of sriracha you didn’t know you needed. If you’ve used any of these systems this past weekend, you know the reality: they’re slow, awkward, and barely more useful than the ‘Customers Also Bought’ widget from 2012.

Here’s the problem: retail AI is still stuck in a cargo cult mentality. Everyone’s chasing the ChatGPT halo effect, pretending that plugging a LLM into a grocery cart is innovation. No one is talking about the real friction in omnichannel commerce: inventory accuracy, substitution hell, and the fact that your local store still can’t sync its shelves with the app in real time. But hey, let’s all marvel at another AI assistant that suggests bananas when you buy cereal.

It’s not just the tech that’s lazy—it’s the agencies and solution providers peddling this as a game-changer. You can spot their fingerprints all over these rollouts: bloated interfaces, half-assed integrations, and the same ‘AI-powered shopping journey’ slide deck recycled since last fall. Meanwhile, customers get to beta-test these Frankenbots while retailers hope no one notices that checkout times just got longer.

Here’s my uncomfortable recommendation: stop chasing AI for AI’s sake. Fix your inventory data. Build a real-time, unified product feed that doesn’t hallucinate what’s actually in stock. Only then does an AI assistant become more than a noisy upsell engine. Until then, these so-called breakthroughs are just another Tuesday in retail’s never-ending nothingburger.