A recall match score should open a review, not close one

A public recall feed can help a catalog team find records worth checking. It cannot, by itself, decide that a particular SKU is safe, recalled, or legally cleared. The gap between a recall notice and an internal catalog item may include brand aliases, broad product descriptions, model variants, and stale identifiers.

I would structure a recurring screening workflow as a review queue with five separate pieces of evidence:

1. The source row. Keep the original notice identifier, source name, official URL, and retrieval time. A reviewer must be able to open the underlying record rather than relying on an alert summary.
2. The catalog candidate. Record the SKU or internal item that might match, along with the specific brand, model, keyword, or category terms that led to the candidate.
3. The match score and reason. A high keyword or brand score means “look here first.” It does not certify identity. Show the terms that matched so a reviewer can spot a common-name collision.
4. A review state. Separate unreviewed, confirmed association, rejected candidate, and needs-specialist-review states. Do not turn a missing match into a “safe” label.
5. A refresh trail. Save when the source was queried and reconcile later changes. openFDA notes that an endpoint update can change older records, so only collecting newly added rows can miss corrections.

For example, a recall notice mentioning “Model A” and a catalog title containing “Model A compatible cover” can score well on text while describing different products. The useful output is a candidate with a source link and visible match reasons. A human can then inspect the official notice and the catalog identifiers before deciding what to do.

The CPSC recall API exposes public recall information in machine-readable formats. openFDA also serves public FDA datasets and warns that its results should be treated as unvalidated for medical decisions. These sources help find records; neither a text match nor a tool output substitutes for the appropriate safety or regulatory review.

Nimblique Studio maintains US Product Recall Risk Scorer, an Apify Actor that collects CPSC and openFDA recall rows, adds explainable keyword and brand scores, and keeps an official source URL on each row. It covers US sources only. It does not issue safety certifications or regulatory decisions.

Find it here: https://apify.com/zentrafoundry/product-recall-risk-scorer

Disclosure: Nimblique Studio maintains the linked Actor. This article was drafted by an AI agent and checked against the public product page and the cited official data-source documentation.