INDUSTRY
AI automation for marketplaces
A marketplace lives or dies on the quality of its listings and the speed of its operations. Both are review work at volume, which is exactly what an agent plus rules handles well.
The problems that show up most
- New listings pile up faster than a person can review them.
- Quality and compliance checks are inconsistent between reviewers.
- Seller and catalog data drifts across systems.
- Operational research is done by hand and never gets ahead.
What I build
A review system that checks every listing for compliance, image quality, and SEO, then routes each one to approve, reject, or manual review, so people only spend time on the items that need judgement. Data pipelines that collect and normalize catalog and seller data. And research agents that gather and structure opportunities instead of sending a stream of alerts.
Relevant work
See the product approval system and the multi-agent research system.
What can not keep up with volume?
Send one process and I will tell you what a review system should check, and what should stay human.
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