Retail: Product Catalog Cleanup with Claude Code: Build vs Buy Decision
A production playbook for product catalog cleanup in retail operations using Claude Code: build vs buy decision, run-scoped inputs, logs, typed results, and artifacts.
Audience: Retail and marketplace catalog teams
The problem
Retail and marketplace catalog teams need product catalog cleanup to run repeatedly against product feeds, images, descriptions, taxonomy rules, and exception lists. In retail operations, the pain is not one good answer; it is repeatability, auditability, exception handling, and evidence that survives handoff.
Implementation path
Compare the work required to operate product catalog cleanup: sandbox lifecycle, provider credentials, input injection, logs, artifact delivery, retries, and result validation.
Tradeoffs and failure modes
Building gives total control; buying the runtime compresses the path to a customer-facing workflow. For product catalog cleanup, the practical test is whether a second run can be debugged, retried, and consumed by a product without reading the raw agent transcript.
Decision table
Build internally if you need bespoke infrastructure primitives.
Use Argo if you need product catalog cleanup as a product workflow: inputs, Claude Code, logs, result JSON, and artifacts.
Use both if a specialized sandbox must sit behind a stable run contract.
Run this on Argo