One decision layer for feed, value, risk and activation.

ShopSailor turns Merchant Center data, product feeds, traffic quality, commercial value and campaign guardrails into a clear next action: scale, hold, fix first or review.

Talk to our team View Google CSS layer

Merchant Center + feed input Scale / hold / fix-first output Human approval on risk

Signal intake Operator approval

Current next action Scale high-score product clusters

Low risk

Feed quality88%

Commercial fit76%

Campaign safety92%

Decision stack

Every recommendation follows a readable path.

The platform separates source data, scoring, guardrails and proof so operators know exactly why an action is recommended.

01Merchant Center + feedTitles, attributes, GTIN, price, stock, shipping and policy context.

02Product readinessClusters grouped by demand signal, category quality and offer strength.

03Commercial valueCommission, margin logic and expected value before activation.

04Campaign safetyOverlap risk, account boundaries and merchant-owned campaign protection.

05Decision outputScale, hold, fix first or send to human review with a reason.

06Proof loopClicks, conversions, coverage and waste signals update the next decision.

Decision simulator

Show operators the next action before it runs.

The same product cluster can be ready, blocked, commercially weak or require approval. The platform makes that difference visible.

High opportunity Scale

Running shoes cluster is ready for controlled CSS coverage.

Feed quality, stock, commercial value and campaign safety are strong enough for a measured activation.

Readiness92%

Value84%

RiskLow

InputFeed + Merchant Center signal

DecisionScore readiness and risk

OutputControlled CSS scale

Step 01

Find the product clusters.

Products are grouped by category, country, feed quality, demand signal and value.

Step 02

Review the recommendation.

Operators see why the model recommends scale, hold, fix-first or human review.

Step 03

Measure what changed.

Clicks, conversions, coverage and waste signals update the next decision report.

Operator workflow

AI organises the signal work. Your team owns the commercial decision.

This is the difference between generic automation and a professional decision platform: every recommendation is readable before anything is approved.

AI handles

Signal reading, scoring and next-action preparation.

The model reads feed quality, product readiness, commercial value, traffic quality, overlap risk and outcome signals.

Humans control

Approval, boundaries and commercial judgment.

Operators decide what should scale, what should wait, what needs fixing and which merchant rules override automation.

Ready for a signal review?

Get a first decision view before launching anything.

ShopSailor can review your feed, Merchant Center and campaign context, then show which clusters should scale, hold, fix first or go to human review.

Request platform walkthrough See Google CSS page