AI agents / Marketplace
Product checks every 30 minutes, with a person making the final call when needed
Marketplace quality control
A marketplace listing triggers four parallel evaluation steps: policy compliance, vision inspection, SEO checks, and missing field detection. Results feed a weighted decision router that routes listings to instant approval, manual review, or rejection.
The operational problem
A live marketplace needed consistent checks across a constant flow of new listings.
How the system handles it
The workflow checks compliance, image quality, SEO, and listing issues, then routes each result to approval, rejection, or manual review.
ENGINEERING DECISIONS
Logic & boundary design
Unstructured data processing, context extraction, and reasoning.
Deterministic conditions, status routing, and strict validation.
Final approval triggers, manual overrides, and audit checkpoints.
API fallbacks, database connectors, and custom Python integrations.
SYSTEM OUTCOME
The team spends time on listings that actually need attention.
Have a similar operational workflow?
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