Macy's AI Shopping Assistant Is Getting Customers to Spend 5x More

Macy's just did something that should get every business owner's attention. The department store launched an AI-powered shopping assistant, and customers who use it are spending nearly five times more per visit than those who do not.

The tool is called Ask Macy's. It is a chatbot built on Google's Gemini AI platform, and it works on both the Macy's website and app. Instead of scrolling through endless product grids and clicking through filters, shoppers can just describe what they need in plain language.

Think of it like talking to a sharp store associate who never gets tired. You can type something like "I need a dress for a spring wedding in Miami under $150" and the assistant comes back with product suggestions, styling ideas, and links to matching accessories. It even has a virtual try-on feature so you can see how clothes look before buying.

Macy's piloted the tool internally starting in December 2025. Employees tested the tone, the functionality, and the practicality of the responses. That feedback shaped the version that went live in late March 2026.

The headline number is hard to ignore. During beta testing, revenue per visit was 4.75 times higher among customers who used Ask Macy's compared to those who browsed on their own. That is not a marginal improvement. That is a fundamentally different shopping experience producing fundamentally different results.

One feature getting strong early feedback is called Complete the Look. If you are shopping for a suit, the assistant will recommend shoes, belts, and accessories that go with it. It is the kind of cross-selling that good retail associates have always done in person, except now it works at scale, around the clock, without any staffing cost.

This matters beyond Macy's because it shows what AI can actually do for retail right now. Not in theory. Not in a demo. In production, with real customers, generating real revenue.

The timing is notable too. Macy's has been fighting a decade of declining sales. This is not a company experimenting with AI for the fun of it. They need it to work. And the early numbers suggest it is working.

For small business owners, the lesson is not that you need to build your own Gemini-powered chatbot. It is that the gap between how customers want to shop and how most online stores are built is enormous. People do not want to click through 47 filters. They want to say what they need and get a useful answer.

That insight applies whether you sell products, services, or information. The businesses that let customers describe what they want in their own words and then deliver a relevant response will outperform the ones that make people navigate a maze of menus and categories.

You do not need Macy's budget to act on this. Tools like Tidio, Shopify Inbox, and even custom GPTs can give a small e-commerce store a conversational layer that feels dramatically more personal than a standard search bar. The technology is available. The question is whether you set it up.

There is a broader pattern here worth watching. AI is not replacing shopping. It is removing the friction from it. The product still matters. The quality still matters. The price still matters. But the path from I need something to here is what you should buy is getting shorter and smoother, and the businesses that shorten that path are the ones capturing the spend.

The honest caveat is that early adopter numbers always look inflated. The customers who use a new chatbot on day one are probably more engaged and more intent on buying than the average visitor. The 4.75x number will almost certainly come down as the tool reaches a broader audience.

But even if it settles at two or three times more spending, that is still a massive lift from a single feature. And it points to something real about how people want to interact with businesses online.

The takeaway is simple. Conversational AI is not a gimmick. When it is pointed at a real customer problem, like helping someone find what they actually want, the results speak for themselves. If you run any kind of business where customers have to search, browse, or choose, this is worth paying attention to right now.