How Return-to-Fix works.

Follow the inputs, review rules and handoffs — from your first sample to a human-approved output.

Early access — concierge onboarding

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01Ingest order, RMA & customer note exportsSKU Return-Signal Dataset
02Cluster variant-level fit & expectation patternsRanked Root-Cause Clusters
03Generate concrete PDP fix recommendationsEvidence-Backed PDP Fix Queue
04Review, approve & track post-fix return rateApproved Change Log & Impact Tracker

INSIDE THE ENGINE

Step-by-step operational pipeline

Cluster return reasons and customer notes by SKU and variant, linking recurring fit or expectation issues directly to recommended PDP copy, size-guide and imagery updates for your team to approve.

Ingest order, RMA & customer note exports

Deliverable: SKU Return-Signal Dataset

Combine return portal exports, reason codes, free-text customer comments and SKU sales volume for your priority category.

Cluster variant-level fit & expectation patterns

Deliverable: Ranked Root-Cause Clusters

Group recurring themes (e.g., tight across shoulders, colour warmer than studio photo, inseam shorter than chart) with sample-size scoring.

Generate concrete PDP fix recommendations

Deliverable: Evidence-Backed PDP Fix Queue

Draft specific fit-banner updates, size-guide adjustments or imagery checks tied to the exact product page.

Review, approve & track post-fix return rate

Deliverable: Approved Change Log & Impact Tracker

Merchandisers sign off on approved PDP updates and monitor before/after return rate movement on updated styles.

SAMPLE WORKFLOW INSPECTOR

Return-to-Fix / sample exception & output view

Read-first guardrails active

Item / Record	Rule Observation	Decision Status
Linen shirt	Repeated sleeve-length feedback	Review copy
Trail boot	Limited fit feedback	Low volume
Cotton tee	Composition wording unclear	Review detail

DATA FLOW & SAFETY ARCHITECTURE

Read-first setup and agreed change controls

1. Read-First Input

Return reasons export, affected product links and order/return volumes for your priority category.

2. Rule & Guardrail Engine

Every copy or sizing change stays under merchant review — nothing is auto-published to your storefront without approval, and low-sample SKUs are explicitly flagged.

3. Concierge Scope

Configure return-signal clustering for a priority product group with ranked, evidence-backed PDP update recommendations.