--- title: "Quality check in Returns" canonical: "https://ingrid-support.refined.site/space/KB/398393346/Quality%20check%20in%20Returns" format: markdown --- **Quality Check** is a warehouse-facing digital inspection interface that provides warehouse staff with a structured workflow to assess returned items, document their condition, and trigger appropriate resolution actions (refund, partial refund, or denial). **How it works:** 1. **Return arrives** at warehouse or 3PL facility 2. **Staff searches** for return by tracking reference, order ID, or barcode scan 3. **System displays** expected items, customer information, and return reason 4. **Staff inspects** physical items and selects condition status for each (all good, defect, missing) 5. **Staff sets outcomes** – return status, refund decision, restocking approval 6. **Report submits** – system automatically triggers refund, inventory update, and customer notification **Integration points:** - Connected to e-commerce platform for automatic refund processing - Syncs with your WMS for inventory restocking decisions — **only where that is needed**. In many setups inventory information comes directly from the e-commerce platform, so no WMS integration is required. - Feeds analytics dashboards for fraud detection and product quality trends - Triggers customer email notifications with return outcomes **Competitive advantages:** - **All-in-one workflow** – Search, inspect, assess, and resolve in single interface (no app switching) - **Flexible review workflows** – Choose immediate processing or manager approval per case - **Integration-ready** – Works with major e-commerce platforms and WMS systems out of the box - **Comprehensive audit trail** – Every assessment timestamped with user accountability for disputes - **Photo evidence capture** – Document item conditions with integrated image upload --- ## Use Cases & Configuration Scenarios ### Use Case 1: Fashion Retailer Reducing Refund Fraud **Business Challenge:** High-volume fashion retailer experiencing £25,000/month in suspected fraudulent returns (wrong items returned, heavily worn items, missing tags). Manual paper-based process provides no documentation for disputes. Warehouse staff inconsistently apply return policies. **Solution:** Implement Quality Check with: - Structured condition assessment (all good / item defect / item missing) - Mandatory photo upload for defect claims over £50 - Manager review workflow for all "No refund" decisions - Integration with Shopify for automatic refund processing **Results:** - **£18,000/month fraud prevention savings** (35 fraudulent returns identified and denied per month at £500 average value) - **Zero chargebacks lost** (Quality Check documentation supports all disputes) - **Consistent policy application** (100% of returns assessed using same criteria) - **Processing time reduced** from 5 minutes to 2 minutes per return - **ROI: 9:1** (£18,000 saved vs. £2,000 monthly cost) --- ### Use Case 2: Electronics Brand Improving Inventory Recovery **Business Challenge:** Electronics retailer struggling with inventory recovery rate of 55% (45% of returned items not restocked due to unclear quality standards). Warehouse staff unsure which items can be resold vs. clearance vs. disposal. Lost revenue from unnecessary write-offs. **Solution:** Configure Quality Check with: - Clear restocking criteria (approved / not approved with guidance) - Item condition tracking (all good, defect, missing accessories) - Integration with Ongoing WMS for automatic inventory routing - Photo evidence for defect documentation **Results:** - **Inventory recovery improved from 55% to 78%** (23% increase) - **£45,000/month revenue recovery** from restocking items previously sent to clearance - **Reduced processing confusion** (warehouse staff confident in restock decisions) - **Faster turnaround** (approved items back in sellable stock within 24 hours) - **Product quality insights** (aggregate data revealed supplier defect patterns) --- ### Use Case 3: Multi-Brand Retailer Scaling Warehouse Operations **Business Challenge:** Growing retailer processing 200 returns/day with seasonal peaks to 500/day. Paper-based quality checks create bottlenecks (15-20 minute processing time). Cannot scale warehouse team fast enough for peaks. No visibility into individual warehouse staff performance. **Solution:** Deploy Quality Check with: - Barcode scanning for fast return lookup (3 seconds vs. manual search) - Streamlined workflow for "all good" returns (90 seconds per return) - Exception-based manager review (only 10% of returns escalated) - Parallel processing (5 warehouse staff simultaneously) - Performance analytics per user **Results:** - **Processing speed: 70 returns per warehouse user per day** (3x improvement) - **Peak handling without overtime** (scaled from 200 to 500 returns/day with same team) - **Cost per return reduced from £5 to £1.50** (70% reduction in labour cost) - **Consistent quality** (structured workflow ensures policy adherence even during peaks) - **Staff accountability** (performance metrics identify training needs) --- ### Use Case 4: Premium Brand Preventing Partial Refund Disputes **Business Challenge:** Luxury retailer offering partial refunds for minor defects (e.g., 50% refund for item with loose thread). Customer disputes increasing (35% of partial refunds result in escalation). No documentation to support partial refund decisions leads to full refunds to appease customers. **Solution:** Implement Quality Check with: - Detailed report comment field (free-text notes on defect details) - Photo evidence capture (warehouse staff upload images of defects) - Manager review for all "No refund" and partial refund cases - Email templates referencing quality check findings **Results:** - **Customer disputes reduced from 35% to 8%** (photo evidence and clear notes eliminate "he said/she said") - **Zero chargebacks** on partial refund disputes (Quality Check documentation accepted by payment processors) - **Margin protection: £12,000/month** (partial refunds upheld instead of full refunds to appease) - **Improved customer communication** (specific defect descriptions in emails reduce confusion) --- ### Use Case 5: Omni-channel Retailer Managing Multiple Return Locations **Business Challenge:** Retailer with 3 warehouse locations (UK, Germany, Poland) and 15 physical stores processing returns. Inconsistent quality standards across locations (UK warehouse strict, Poland lenient). No centralized visibility into quality checks. **Solution:** Roll out Quality Check across all locations with: - Standardised condition assessment criteria (company-wide training) - Centralised configuration (return violations policy applies to all locations) - Location-based analytics (compare defect rates and restock approvals) - User role management (warehouse managers can review reports from all sites) **Results:** - **Consistent quality standards** across all 18 locations - **Centralised visibility** (HQ can monitor quality checks from all sites in real-time) - **Location performance comparison** (identify best practices and training needs) - **Reduced inter-location disputes** (shared standards eliminate "why did UK approve but Poland deny?") - **Scalable to new locations** (onboard new warehouse in 1 day with standardised workflow) ‌ The Setup Guide can be found [here](https://support.ingrid.com/space/KB/398753793/How+to+configure+quality+check+in+Returns). ‌