How technology changes commerce.
I research AI Commerce, digital transformation, and the systems shaping how products are discovered, evaluated, and bought.
I've spent more than 20 years working across ecommerce, merchandising, marketplaces, Amazon, digital commerce, and technology. This site is where I document what I'm learning about how AI and other technological shifts are changing commerce, and what operators need to understand before the shift becomes obvious.
What I'm exploring
The questions I keep returning to as technology reshapes how commerce works, and how the pieces connect across disciplines.
AI Commerce
How AI is reshaping the way products get discovered, evaluated, and bought across marketplaces and retail. Rufus, Sparky, ChatGPT, and the agentic surfaces are the current front line.
Product Discovery
How shoppers, and increasingly their agents, actually find products. What surfaces a listing, what gets skipped, and how discovery is shifting from search boxes to conversations.
Digital Transformation
How commerce operations, tooling, and data systems evolve when technology moves faster than the org chart. What it takes for teams to keep up without simply adding headcount.
Search, GEO, and AI Recommendations
How search is moving from keyword ranking to AI recommendation. Generative Engine Optimization, Agentic Engine Optimization, and what decides whether an engine cites or recommends you.
Recent research
Anthropic Is Building the Intelligence Layer for Merchant-Owned Commerce
Anthropic shipped two commerce agents and, unusually, published what it is not interested in owning: catalogs, supply chain, last mile, and advertising inside the agents you build. The architecture backs it up. Nothing places an order or changes a live listing, and the model never even sees the checkout URL.
Amazon Is Extending the Shopping Journey Beyond the Search
Amazon turned on a feature that alerts shoppers when a brand launches, an author publishes, or a tour is announced. Shoppers configure the alerts themselves, so this is monitoring rather than prediction. The interesting part is that the assistant now stays involved during the interval when no shopping is happening.
ChatGPT Ads Hit a $1 Billion Run Rate in 200 Days. The Audience Came First.
OpenAI says ChatGPT Ads reached a $1 billion annualized revenue run rate in under 200 days. A run rate is an extrapolation, not collected revenue. The more useful question is how any ad business scales that fast, and the answer sits in a sentence about something else: more than a billion weekly active users were already there.
This is not an AI news site. It is a public notebook for understanding how technology changes commerce. The goal is to compound knowledge, connect ideas across disciplines, and document the questions, experiments, and patterns that help operators make better decisions.