Building an Autonomous Retail Store with AI Agents: A Technical Walkthrough

Startup Spotlight: Brain Co.

Spent this morning with the team at Brain Co., and I had to write it up. They're tackling a problem every enterprise knows too well: AI pilots that look great in a demo and then never make it to production. What stood out to me is their forward deployed model. Instead of handing over software and wishing you luck, they embed engineers and product specialists right alongside your operators to get complex AI actually working in the real world. Their Retail and CPG work is a great example, including a roofing distributor where they blended external signals like weather and competitor pricing into forecasting, pricing, and sales, and got real results in weeks rather than months. Brain Co. is one of the hashtag#startups in our Microsoft for Startups Pegasus portfolio, and there are hundreds more we've curated based on what we're seeing across our customer ecosystem. Reach out if you'd like the list or want to organize a Startup Showcase with some of the founders.

Pegasus Spotlight: Clootrack and the Rise of the Voice-of-Customer Super Agent

Had a great conversation with Shameel Abdulla, CEO of Clootrack, this morning, and came away energized about what his team is building. Most brands have gotten very good at measuring customer experience but not at driving outcomes from it. Clootrack closes that gap. It's an AI Super Agent for Voice of the Customer that doesn't just tell retailers and CPG brands what happened, but why it happened and what to do next, connecting customer feedback with transactions, churn, returns, and operational data to actually move the needle. I'm also excited about their new MCP server, which brings this customer intelligence directly into Microsoft Copilot and other AI work fronts, so teams can ask questions in plain language and get governed, evidence-backed answers. Clootrack is a great example of the kind of Agentic AI company we love supporting through the Microsoft for Startups Pegasus Program.

Microsoft Foundry Labs: A Practical Guide for Retail Innovation

Most frontierAI research isn't built with retail in mind, but a handful of models in Microsoft Foundry Labs map onto real retail problems remarkably well. I went through the catalog and picked out the ones with a genuine use case, from product imagery and conversational commerce to search, optimization, and 3D shopping. I also dig into why in-house retail teams can treat these as building blocks rather than off-the-shelf products, and how pairing them with startups in the Microsoft for Startups portfolio can accelerate the work. If you're a retailer or brand thinking about where to build, I'd love to hear from you.

What a Month of Building Autonomous Projects Taught Me

I spent the last month building autonomous projects: a hashtag#retail operation that designs and sells t-shirts off trending phrases, a pipeline that turns photos into 3D-printed figurines, and a newsletter that translates retail news into insights and actions rather than just headlines. I learned a lot along the way. That you no longer need coding skills to build real things, and that you can build them in a fraction of the time. That debugging can be handed to hashtag#AI, and watching it explain its reasoning is genuinely educational. That the hard part has quietly moved from writing code to saying clearly what you actually want. But the biggest realization was this. All of this technology is democratizing the ability to create. The challenge no longer lives in the tools or the skill to code something. It lives in creativity, in coming up with ideas worth building that no one else has thought of. That is the new skill all of us need to develop, and it is what becomes our unique strength.

I Stopped Asking AI for the News. I Asked It What the News Means.

What if your news feed answered "𝒘𝒉𝒂𝒕 𝒅𝒐𝒆𝒔 𝒕𝒉𝒊𝒔 𝒎𝒆𝒂𝒏 𝒇𝒐𝒓 𝒎𝒆" instead of "what happened"? I wrote a job description for an #AI [https://www.linkedin.com/search/results/all/?keywords=%23ai&origin=HASH_TAG_FROM_FEED] agent using #MicrosoftScout [https://www.linkedin.com/search/results/all/?keywords=%23microsoftscout&origin=HASH_TAG_FROM_FEED], that reads 30+ #retail [https://www.linkedin.com/search/results/all/?keywords=%23retail&origin=HASH_TAG_FROM_FEED] news sources every week and delivers trends and takeaways rather than headlines. New post on how I built it, the exact instructions that power it, and a link to the first live issue.