OPERATIONS INTELLIGENCE

E-commerce Growth Agent

Turn sales, traffic, advertising and inventory data into reviewable actions.

Load the sample dataset or upload a CSV using the documented schema.

BUSINESS CONFIGURATION

Review guardrails

These are review hypotheses, not universal business rules. Change them, then analyze the sample again to compare findings.

PORTFOLIO HEALTH

Executive overview

Ready
GMV—Gross merchandise value
Orders—Completed orders
Conversion—Orders ÷ clicks
Ad ROI—Revenue ÷ ad spend
Contribution profit—After product and ad cost

EVIDENCE FIRST

Diagnostic findings

0 findings
SeveritySKUSignalEvidence
No analysis has been run.

HUMAN APPROVAL REQUIRED

Prioritized action plan

Recommendations will appear here after analysis.

DATA-MINIMIZED PERSISTENCE

Local analysis history boundary

90 days · 20 records
Current session previewNo runA safe summary appears after analysis.
StoredSummary + finding codesSource filename, counts and a SHA-256 data fingerprint.
Never storedSource rowsNo customer identifiers, order details or free-text notes.

The Python CLI provides the durable local JSON implementation. This browser card is a session-only preview and makes no database claim.

EXPLAINABLE ORCHESTRATION

Agent execution trace

  1. Waiting for a dataset.

EVIDENCE-CONSTRAINED M5

Optional explanation adapter

Deterministic fallback
Adapter inputStructured findings onlyNo uploaded source rows or SKU metric table is shared with the adapter.
Grounding gateKnown citations + numbersEvery item cites finding and recommendation references; new numeric claims are blocked.
Failure behaviorFall back, never actMalformed, unsafe or failed output returns an offline explanation and executes zero commercial actions.

No paid model is bundled. This interface demonstrates a controlled integration boundary, not proof that arbitrary model text is always factual.

TRIAL READINESS M5

20-minute reviewer path

Offline · Synthetic
Runnable proofCore + failure pathOne command validates the sample flow and impossible-funnel rejection.
Feedback loopDuplicate retry regressionSynthetic defect, accepted change, idempotent write and test evidence.
External intakeNo forced dependencyExact versions and licenses recorded; both candidates rejected on net-value grounds.

See the repository trial guide and machine-readable evidence index. This is not a production deployment or adoption claim.