The Operating System for Return Reduction
ReturnOS is the intelligence layer for modern e-commerce operations — diagnosing why customers return products and turning every return into a margin-saving action.
See Exactly What's Causing Returns
ReturnOS turns returns, reviews, and customer complaints into actionable profit-saving insights.
Measure each SKU flat, publish chest/shoulder/sleeve to the nearest 0.25 inch, add fit-finder badges
Returns are a data problem. We solve it.
You're flying blind on a 30% revenue leak.
- You see the returns…
But not the patterns. Spreadsheets don't tell you why customers ship products back.
- Margins quietly erode
Every silent return chips away at profit — restocking, shipping, refunds, and lost customers.
- You react too late
By the time a problem product is obvious, hundreds of orders are already affected.
Every return becomes a decision you can act on.
- AI reads every return reason
Customer notes, support tickets, and review text — clustered into the actual root causes.
- Patterns surface in minutes
Sizing issues, quality clusters, mislabeled photos — categorized, scored, and ranked by impact.
- Clear actions, not dashboards
Each insight ships with a recommended fix, expected uplift, and the products affected.
Every return is money walking out the door.
ReturnOS exists for one reason: to save your business money. Here's the financial reality most operators miss.
Returns are silently killing profit margins.
Restocking, return shipping, refunds, and lost customers compound every month — and they almost never show up on your P&L as a single line item.
Most brands never discover the real reason products are returned.
Reason codes lie. The truth lives in unstructured customer notes, reviews, and tickets — exactly what ReturnOS reads at scale.
A 5% reduction in returns can save thousands per month.
For most stores doing $500k+ in revenue, that's tens of thousands per year recovered — straight back into operating margin.
ReturnOS turns return data into actionable revenue recovery.
Every insight is paired with an estimated dollar impact and a concrete fix — so leadership can prioritize by ROI, not opinion.
An analyst that never sleeps — and never guesses.
ReturnOS's models are tuned for e-commerce returns. Every insight ships with evidence, confidence, and the source data it was derived from.
Natural language reasoning
Reads thousands of unstructured customer notes and reviews to extract the real reason behind a return.
Multi-source correlation
Cross-references returns, reviews, and support tickets so a single insight is backed by multiple evidence trails.
Confidence scoring
Every insight is rated High, Medium, or Low confidence with the exact sample size behind it.
Recommended actions
Doesn't just describe the problem — proposes the photo, size chart, or product page change to fix it.
See exactly what fixing returns is worth.
Based on stores using ReturnOS insights, customers typically recover 15–22% of return-driven revenue loss in the first 90 days.
Your store
Drag to estimate your savings.
Estimates based on an 18% average reduction in preventable returns across ReturnOS customers. Actual results vary by category and catalog size.
See How Brands Recover Lost Revenue
A look inside one ReturnOS customer — the diagnosis, the fixes shipped, and the measurable drop in preventable returns.
Urban Division reduced preventable returns by 22% in 90 days.
- Sizing#1Republished flat measurements for slim-fit denimImpact · $4,200/mo
- Photography#2Reshot 12 SKUs with macro fabric detailImpact · $2,800/mo
- PDP copy#3Added material composition + care calloutsImpact · $1,400/mo
Save more than you spend.
Plans designed to pay for themselves in the first month of reduced returns.
Try the AI diagnosis with no commitment.
- 1 free AI analysis
- Basic AI insights
- Limited dashboard preview
- No credit card required
+ VAT where applicable
For small stores starting to fix returns.
- Up to 500 returns analyzed / month
- AI return insights
- Full dashboard access
- Unlimited CSV uploads
+ VAT where applicable
For scaling brands losing real money to returns.
- Up to 5,000 returns / month
- Advanced root-cause analysis
- Priority AI insights
- Full action plans & tracking
- Team sharing & exports
Secure checkout · Cancel anytime · VAT handled automatically.
Questions, answered.
Upload your return data as a CSV — order details, return reasons, and any free-text customer notes. Our AI clusters the returns, cross-references reviews and support tickets, and produces a report of the products and patterns hurting your margins, with recommended fixes for each.
At minimum: returns with product, reason, and date. Optionally: customer notes, product reviews, and support ticket text. The more context you provide, the deeper the analysis. A sample CSV is one click away from the upload form.
No. ReturnOS works with any e-commerce platform — Shopify, WooCommerce, BigCommerce, custom builds — as long as you can export returns to CSV. A native Shopify connector is on the roadmap.
Every insight is rated High, Medium, or Low confidence based on sample size and signal strength. We surface the exact number of complaints, reviews, and tickets behind each conclusion — and flag insights as 'insufficient data' when the sample is too small to be reliable.
Under 60 seconds. Drag in your CSV, name your store, click Analyze. Your first report is ready in about a minute — no integration, no engineering, no waiting.
Yes. Data is encrypted in transit and at rest, processed in isolated environments, and never sold or shared. You can delete your data at any time from the Settings page.
Stop Guessing Why Customers Return Products.
Upload your return data and discover exactly what's costing your store money.