Short answer
Foresight decides relevance by comparing source-backed regulatory and literature signals with a customer's operating footprint: products, substances, materials, markets, suppliers, operations, and team priorities. The goal is to show why an update may matter, not simply that it exists.
The Customer Footprint
Foresight works from context such as product categories, substances, materials, markets, suppliers, team responsibilities, and stated priorities.
That context helps separate a broadly interesting regulatory update from one that could affect a specific product, market, or workflow.
Review Improves the Watch
When teams review alerts, their feedback can help refine routing and relevance over time.
The system should make it easy to say why an alert was useful, irrelevant, already known, or uncertain.
Frequently asked questions
Does Foresight need perfect product data to start?
No. Foresight can start from available context and improve as product, substance, supplier, market, and feedback data improves.
Can teams override relevance decisions?
Yes. Human review and feedback are important parts of a trustworthy regulatory workflow.
Related questions
How do regulatory teams reduce noise in alerts?
Broad monitoring creates volume. Relevance mapping turns volume into signal.
Read moreHow does Foresight map alerts to products and substances?
Mapping is the bridge between a regulatory update and business exposure.
Read moreHow does Foresight preserve source evidence?
Evidence stays close to the alert so review does not start from scratch.
Read more