Turn returns into a seamless experience that preserves revenue and loyalty
AI-powered returns and exchange workflows that guide customers through self-service returns, automate approvals based on your policies, and proactively offer exchanges — reducing refund losses while improving satisfaction.
Built for E-Commerce, Operations & Customer Experience Leaders
The Problem
Why manual triage doesn't scale
Returns Are Expensive and Growing
Online return rates far exceed in-store rates. Processing each return manually costs time, labor, and margin — and the volume keeps climbing.
E-commerce return rates average 20-30%, costing retailers $816B annually
Slow Processing Frustrates Customers
Customers expect fast, hassle-free returns. Manual review queues, unclear policies, and delayed refunds drive negative reviews and churn.
92% of customers say they will buy again if the return process is easy
Refunds Leak Revenue
Most returns default to full refunds when an exchange, store credit, or partial refund could preserve revenue and keep the customer engaged.
Retailers lose 30-40% of return value by defaulting to cash refunds
Return Fraud Is Hard to Detect
Serial returners, wardrobing, and receipt fraud cost retailers billions. Manual review cannot scale to catch abuse patterns across millions of transactions.
Results
Measurable impact from day one
70%
Self-Service Return Rate
Customers complete returns and exchanges through AI-guided self-service without contacting support.
35%
More Exchanges vs. Refunds
AI proactively suggests exchanges and store credit, preserving revenue that would otherwise be refunded.
50%
Faster Refund Processing
Automated policy checks and approval workflows cut return processing time in half.
25%
Reduction in Return Fraud
AI flags suspicious return patterns and serial abuse that manual review would miss.
Capabilities
Everything you need for intelligent triage
Self-Service Returns Portal
AI-guided return experience that walks customers through eligibility checks, label generation, and refund method selection.
- Policy-aware eligibility checking by SKU and timeframe
- Automated return label and QR code generation
- Real-time refund status tracking for customers
Exchange Recommendation Engine
AI proactively suggests exchanges, alternative sizes, and similar products instead of defaulting to refunds — preserving revenue.
- Size and fit recommendation based on return reason
- Alternative product suggestions from current inventory
- Store credit and gift card incentive offers
Return Fraud Detection
AI monitors return patterns to flag wardrobing, serial abuse, receipt fraud, and other suspicious activity before refunds are issued.
- Customer return history and pattern scoring
- Policy abuse detection across channels
- Automated hold and review escalation for flagged returns
Reverse Logistics Orchestration
Automate the entire reverse logistics flow — from return authorization to warehouse receipt, inspection, and restocking or disposition.
- Carrier integration for return shipping and tracking
- Warehouse receipt and inspection workflow triggers
- Restock, refurbish, or dispose routing automation
How It Works
Three steps to automated triage
Step 1
Request & Validate
Customer initiates a return via any channel. AI checks eligibility against your policies, suggests exchanges, and generates return labels automatically.
Step 2
Process & Inspect
Returned items are tracked through shipping, received at the warehouse, and inspected. AI triggers the appropriate refund, exchange, or disposition.
Step 3
Analyze & Prevent
Analytics reveal return reasons by product, category, and customer segment — enabling you to reduce return rates and catch fraud patterns.
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Frequently asked questions
How does returns automation reduce refund losses?
The workflow offers a relevant exchange before defaulting to a refund, matched to the reason the item is coming back. Around 35% more returns convert to exchanges, which keeps the revenue while still resolving the customer's problem rather than reversing the sale.
Can returns be approved against our own policy rules?
Yes. Return window, item condition, category exclusions, and customer history are configured as rules the workflow applies consistently to every request. Around 70% of returns complete as self-service, and refunds process roughly 50% faster once approval stops being a manual review step.
How is return fraud detected?
Patterns across return frequency, order history, and item behaviour are scored on every request, flagging serial returners and wardrobing without blocking legitimate customers. Detection typically reduces return fraud by around 25% while leaving the self-service path completely intact for everybody else.
Related Glossary Terms
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