Macy’s just transformed how shoppers browse with Ask Macy’s, a new AI assistant powered by Google’s Gemini. The results are shocking: users spend nearly five times more than those who don’t use the tool. This isn’t just a tech upgrade; it’s a massive revenue spike that proves conversational AI is the future of retail. If you’re a shopper, you’ll love the personalized help. If you’re a retailer, ignoring this shift could cost you dearly.
Why Macy’s AI Assistant is Changing the Game
Remember the days of endless scrolling through category pages until your thumbs ache? That era is rapidly fading. Macy’s proved that the future of retail isn’t just about having better inventory; it’s about having a genuine conversation with your customers. The department store giant launched this tool, and the data backs it up hard. Shoppers using the chatbot spend about 4.75 times more online than those who don’t. That’s a 400% increase in spending. For a company battling declining sales for years, this is a potential lifeline.
Before this launch, Macy’s reported a drop in net sales last year. Now, they’re seeing comparable sales growth. If this AI tool can sustain that momentum, the trajectory looks very different for the year ahead.
How They Fixed the Robot
So, how did they get from stagnation to a 475% spending spike in mere weeks? It wasn’t magic; it was iteration. Max Magni, Macy’s Chief Customer and Digital Officer, admitted the process wasn’t smooth sailing. The team had to tweak the bot constantly after thousands of employees weighed in. Originally, the system was too rigid. It didn’t account for regional climate differences, bombarding users in Florida with winter coats just as people in New York were sweating through their parkas.
There were also tone issues. Magni recalled asking for T-shirt suggestions for his son, only to receive a robotic response: “Here’s a T-shirt for a 10-year-old.” That’s not helpful; that’s a dead end. The team fixed it. Now, the bot replies with, “Ten-year-olds can have so much fun with color,” offering context and personality alongside the product.
What Customers Are Actually Asking For
What are customers really looking for? The data suggests they aren’t just browsing; they’re hunting for specific solutions. Magni noted that users often come in looking for an outfit for an upcoming event rather than just window shopping. The bot’s most popular features reflect this shift.
- Complete the Look: The system suggests accessories to match an outfit, saving you time.
- Virtual Try-On: Shoppers can see how clothes fit before buying.
- In-Store Access: Interestingly, you can even use the virtual try-on inside physical stores if you’re short on time.
This shift isn’t happening in a vacuum. If you think Macy’s is alone in this race, you’re looking at the wrong scope. Around 40% of the top 20 US retailers by revenue have already deployed some version of an AI-powered assistant. The industry is moving fast because the alternative is terrifying. Retailers are terrified that without these conversational search experiences, shoppers will simply abandon them for competitors who get it right.
Is This the New Baseline for E-Commerce?
The technology behind this is evolving rapidly. While Macy’s relies on Google Gemini, the ecosystem is bustling. Every retailer is trying to figure it out one step at a time, and as Magni put it, “Nobody has cracked the code.” This raises a critical question: Is this just a temporary hype cycle, or the new baseline for e-commerce?
With 40% of major players already on board, the gap between those who have AI assistants and those who don’t is widening. Shoppers are getting used to a level of service that feels almost human, and they’re rewarding it with their wallets. For retailers and tech leaders watching this unfold, the message is clear: static search bars are dead. The “Ask Macy’s” launch demonstrates that conversational AI isn’t just a gimmick; it’s a direct revenue driver.
The challenge for the next wave of adopters won’t be building the tech, but refining the voice. The “cold list” approach Magni described earlier is a recipe for failure. Retailers must invest in tone, context, and real-time data integration, or they risk being left behind in a market that’s already decided it wants more than a search bar.
