What I'm learning as I work.
Notes on questions I run into in eCommerce: why inventory numbers disagree, what a report leaves out, and when automation is worth the effort. I also share what I am learning from my own projects.
Latest notes
Short, practical essays drawn from the questions behind day-to-day eCommerce work.
October 3, 20264 min read
Who Owns the Product Record When Every Channel Needs Something Different?
Product data needs clear ownership across systems and channels. Which facts should stay consistent, which details can vary, and who fixes a disagreement?
August 30, 20265 min read
AI Cannot Fix an Inventory Problem It Cannot See
Why trustworthy inventory, product data, pricing, and fulfillment are the foundation of better eCommerce decisions.
July 14, 20264 min read
Why Dashboards Should Start With Decisions, Not Metrics
Why useful reporting begins with the decision a team needs to make, not the data already available.
July 12, 20266 min read
What a Practical AI Workspace Needs: Research, Review, and Accountability
What I am learning about organizing AI-assisted research, review, and recurring work while keeping people responsible for decisions.
Questions I keep returning to
These are the questions that come up in reviews, project work, and conversations with leaders and teams.
Better eCommerce reviews
How reporting can make changes, context, ownership, and next steps easier for a team to discuss.
Product data people can trust
How definitions, ownership, and channel requirements determine whether teams can trust the information in front of them.
Automation that removes repeat work
Which recurring tasks are worth simplifying and where a person still needs to review the result.
Small products with a clear job
How a narrow use case, careful scope, and a straightforward interface can make an idea useful sooner.