In an increasingly crowded e-commerce landscape, Macy's is making a bold claim: the future of online shopping isn't search—it's conversation. And early data suggests that bet may already be paying off.
The retailer's newly launched AI assistant, Ask Macy's, is delivering a striking performance metric: shoppers who engage with the tool generate nearly 4.75 times more revenue per visit compared to those who don't. That kind of uplift doesn't just signal incremental improvement—it points to a potential redefinition of how consumers interact with digital storefronts.
From Search Bars to Conversations
Unlike traditional e-commerce interfaces that rely heavily on keyword searches and filters, Ask Macy's shifts the paradigm toward guided discovery. Built on Google Gemini, the assistant encourages users to describe what they want in natural language—much like speaking to a store associate.
Instead of typing “red dress size M,” shoppers can describe context: a wedding, a budget, a preferred style. The AI then interprets these nuances to deliver tailored recommendations, effectively bridging the gap between human intuition and algorithmic precision.
This distinction matters. As Macy's Chief Customer and Digital Officer Max Magni emphasized during Shoptalk, the tool isn't about returning results—it's about understanding intent. That subtle shift reflects a broader industry movement away from transactional interfaces toward experience-driven commerce.
Quiet Rollout, Strategic Refinement
Ask Macy's didn't arrive overnight. The company initially deployed the tool internally through a “dark launch” in December, allowing employees to test and refine its capabilities before public release on March 23.
This phased approach highlights a critical lesson in AI deployment: tone, accuracy, and usability matter as much as raw capability. Internal feedback focused on improving conversational clarity, refining follow-up questions, and ensuring the assistant could handle real-world shopping scenarios.
Even now, Macy's is transparent about the technology's limitations. Users are informed that the AI is still learning and may occasionally make mistakes—a reminder that while generative AI is powerful, it remains an evolving tool.
Why This Matters for Retail
Macy's move underscores three major trends reshaping the retail landscape:
1. Personalization Is Becoming the Core Product
Retailers are no longer just selling goods—they're selling relevance. AI-driven assistants like Ask Macy's can synthesize preferences, context, and trends in real time, delivering a level of personalization that static product pages cannot match.
2. Discovery Is Replacing Search
The traditional search bar is giving way to curated exploration. This mirrors broader shifts seen across platforms like TikTok and Instagram, where algorithms surface content users didn't explicitly request—but often end up wanting.
3. AI Is Closing the Gap Between Online and In-Store Experiences
For decades, physical retail had one key advantage: human interaction. By mimicking the consultative role of in-store associates, AI assistants are bringing that experience into digital environments—at scale.
Competitive Pressure Is Mounting
Macy's is far from alone in this push. Major retailers and tech platforms are rapidly integrating generative AI into their shopping experiences. From conversational assistants to visual search and virtual try-ons, the race is on to redefine customer engagement.
However, Macy's early performance metrics suggest it may have found a particularly effective formula—one that balances utility with discovery, rather than overwhelming users with endless choices.
The Road Ahead
The success of Ask Macy's raises an important question: will AI assistants become the default interface for online shopping?
If current trends hold, the answer is likely yes—but with caveats. Accuracy, trust, and transparency will be critical. Shoppers must feel confident not only in recommendations but also in how those recommendations are generated.
For Macy's, the next phase will involve scaling the technology while maintaining quality. For the broader industry, the implication is clear: retail is entering a conversational era, and those who fail to adapt risk being left behind.
Source: Based on reporting from Retail Dive