Feed quality becomes an activation decision.
The system should not only say that a feed has issues. It should show whether those issues block, delay or still allow controlled activation.
Feed scannerQuality model
Title quality
GoodMissing attributes
LowPrice signal
StableShipping data
ReadyFix feed blockers before they cost visibility.
ShopSailor reads product attributes, feed quality, shipping, price, availability and readiness gaps before products are activated into CSS or Shopping expansion.
Feed qualityProduct readinessScale / hold logic
01Fix firstCritical blockers
02Can testMinor gaps
03ReadyScale candidate
04HoldLow commercial value
Product readiness
The model turns feed quality into commercial action.
Weak product data should be caught before it suppresses visibility or wastes activation effort.
Find weak attributes
Surface missing, poor or inconsistent product signals earlier.
Rank products by readiness
Prioritise products with stronger feed, price and availability signals.
Recommend the next move
Show whether a product should scale, wait or be fixed first.
Feed decision report
Every product gets a clearer activation status.
Operators can understand why products are ready, blocked or not commercially interesting yet.
Decision reportAI output
12kproducts reviewed
18%coverage signal
Lowwaste risk
01Recommended actionScale high-score clusters
02GuardrailHold low-margin categories
03Next checkCountry readiness + feed quality
Activation output
Every feed issue should become one of four readable decisions.
Operators do not need a long error list. They need to know what blocks revenue, what can be tested and what should move first.
Blocks visibility or approval
Missing shipping, identifiers, critical attributes or policy-sensitive data should be solved before activation.
Minor gaps with low risk
Products can enter a small test when the core feed is usable and the expected commercial upside is clear.
Scale candidate
Strong product data, stable availability and positive commercial signals make the cluster ready for controlled CSS reach.
Low value or unclear risk
The model can recommend no action when demand, margin, policy or overlap signals do not justify activation yet.