Michaels shipped an AI shopping assistant in six weeks
Michaels' Ask Mike hit nearly 75,000 conversations with 60% on product discovery. The build took six weeks. Your catalog is the real constraint.
The headline number in the Michaels announcement is 75,000 conversations. The number that should get your attention is six weeks. That's how long it took a national craft retailer to get an AI shopping assistant from concept to production — and it reframes the question from "can we afford this" to "is our product data good enough to support it."
What actually happened
Michaels announced on July 21, 2026 that "Ask Mike," live since May on Michaels.com and its iOS and Android apps, was built with Google Cloud's Gemini Enterprise for Customer Experience. The reported results:
- Nearly 75,000 conversations since release
- Over 60% of interactions were product discovery
- Six weeks from concept to production-grade deployment, per Paul Tepfenhart, Google Cloud's global director of retail industry strategy and solutions
Instead of typing exact product names or clicking through filters, shoppers describe a project — a centerpiece, a kid's birthday craft, a gift — in plain language and get products back. Michaels says AI-driven product overviews and contextual prompts on product detail pages are next.
Why an AI shopping assistant matters for your business
That 60% figure is the tell. This isn't a support bot deflecting tickets. It replaced site search for most of the people who used it, which means it inherits site search's failure mode: it can only surface what your catalog actually describes.
"I'm making a centerpiece for a fall wedding" only resolves to a shopping cart if your product data knows materials, colors, sizes, occasions, and skill level. Michaels shipped in six weeks because the expensive part was already done — a structured catalog with real attributes on hundreds of thousands of SKUs. If your products are a name, a price, and a paragraph a vendor wrote in 2019, a conversational layer on top of that will confidently recommend the wrong thing, and it'll do it fast.
So budget the catalog, not the model. Cleaning attributes, filling gaps, and building a retrieval index over your own product data is where the time and money go. The assistant on top is genuinely a few weeks of work now.
One more thing worth noticing: Ask Mike runs on Michaels' own site. That's the opposite trade from handing your catalog to a third-party shopping agent. Michaels keeps the conversation, the intent data, and the customer. You should too — the same product data feeds both, but only one of them tells you what your customers are actually asking for.
Key takeaways
- Michaels launched "Ask Mike" in May 2026 on Google Cloud's Gemini Enterprise, announced July 21, with nearly 75,000 conversations logged
- Over 60% of interactions were product discovery — the assistant is replacing site search, not customer support
- Six weeks concept-to-production is real, but it assumes a catalog with structured attributes already exists
- Running the assistant on your own domain keeps the intent data; a third-party agent keeps it for itself
The assistant is the easy part. We audit and restructure product data first, then build the conversational layer on top of it — on your domain, with your intent data staying yours. Tell us what your catalog looks like.
Sources: Michaels press release, Retail Dive.
- #ai-shopping-assistant
- #retail-ai
- #product-data
- #ecommerce
- #conversational-commerce
Tommy Rush — Founder, Rush Commerce
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