Returns and RTO are two of the biggest operational challenges for sellers on Amazon, Flipkart, Myntra, Meesho and other e-commerce marketplaces.
A high return rate doesn’t only mean lost sales. It can also increase logistics and handling costs, block inventory, create additional operational work and reduce your actual profit per order.
But first, sellers need to understand the difference between RTO and customer returns.
What Is RTO and What Is a Customer Return?
RTO (Return to Origin) happens when an order is not successfully delivered to the customer and is sent back to the seller/origin.
Customer return happens when the customer has received the product and then initiates a return according to the marketplace’s applicable return policy.
| RTO | Customer Return |
|---|---|
| Order is not successfully delivered | Product is delivered first |
| Product comes back without a completed delivery | Customer sends product back |
| Common reasons: refusal, unavailable customer, address issue, failed delivery | Common reasons: size, quality, damage, wrong product, mismatch with listing |
| NDR can occur before RTO | Reverse pickup generally follows a customer return request |
| Strongly connected with delivery/COD/order issues | Strongly connected with product and customer experience |
Marketplace systems may use slightly different terminology and workflows. Unicommerce also separately categorises RTO and Customer Initiated Returns (CIR).
How Returns Affect Your Profit and Seller Performance
A returned order can affect your business through:
- Forward shipping/fulfilment costs where applicable
- Applicable reverse/RTO charges
- Marketplace fees according to the platform’s current policy
- Packaging and handling
- Repacking
- Damaged or unsellable inventory
- Inventory being blocked during the return cycle
- Customer-service workload
- Lost opportunity to sell that inventory to another customer
Important: Don’t assume that every RTO automatically carries the same “return charge.” The actual treatment depends on the marketplace, fulfilment model, courier arrangement, weight, zone and applicable seller agreement.
Your real calculation should use your actual marketplace settlement and current fee structure, not a generic internet estimate.
Return Rates: What Does the Data Say?
There is an important limitation here.
Amazon, Flipkart and Myntra do not publicly provide a consistent, comparable marketplace-wide seller return-rate dataset. A 2025 Mint report noted that most major Indian marketplaces did not disclose their return-rate figures when asked.
Therefore, publishing a table such as:
Authentic Indian category-level data
A 2026 Unicommerce analysis reported the following Indian e-commerce return-rate ranges:
| Category | Reported Return Rate |
|---|---|
| Apparel | 37–42% |
| Large Appliances | 29–34% |
| FMCG | 28–33% |
| Mobiles | 22–27% |
These figures are category-level Indian e-commerce data, not individual Amazon/Flipkart/Myntra return rates.
This is important because return rates vary dramatically by category. Fashion, for example, can have much higher returns than several other categories.
Older Unicommerce data also found apparel and footwear to be among the highest-return categories, reinforcing the importance of category-specific benchmarking.
How to Avoid RTO
Marketplace sellers can reduce RTO by focusing on the reasons behind failed deliveries.
1. Monitor COD RTO
Track:
COD RTO % = COD RTO Orders ÷ COD Shipped Orders × 100
Don’t immediately remove COD. First identify which products, pincodes and order values generate the highest COD RTO.
2. Analyse NDR
NDR means Non-Delivery Report.
A failed delivery can become RTO if it is not successfully resolved. Monitor NDR cases and use the marketplace/logistics workflow available to you for reattempts wherever possible.
3. Track RTO by pincode
Identify pincodes with unusually high:
- RTO
- NDR
- Delivery failures
4. Track RTO by SKU
If one product has a 25% RTO while your other products have 5–8%, investigate that SKU instead of changing your entire business strategy.
5. Improve dispatch accuracy
Check:
- Correct SKU
- Correct variant
- Correct quantity
- Correct label
- Proper packaging
- On-time marketplace dispatch
How to Avoid Customer Returns
Customer returns are often linked to the gap between what the customer expected and what the customer received.
Improve your marketplace listing with:
- Accurate product title
- Clear images
- Correct dimensions
- Accurate colour
- Material details
- Quantity information
- Size chart
- Fit information
- Compatibility details
- What’s included
- What’s not included
- Clear product specifications
For fashion sellers
Focus especially on:
- Size accuracy
- Measurements
- Fit
- Fabric
- Colour
- Product length
- Clear images
For electronics sellers
Clearly mention:
- Compatible devices
- Specifications
- Dimensions
- Power requirements
- What’s included
- Warranty information
A better listing helps customers make a more informed purchase and can reduce avoidable returns.
Best Practices to Reduce Both RTO and Returns
For a profitable marketplace business, make these practices part of your regular operations:
Track these numbers every month
- Overall RTO %
- COD RTO %
- Prepaid RTO %
- Customer return %
- NDR %
- NDR-to-RTO %
- SKU-wise return %
- Pincode-wise RTO %
- Marketplace-wise return %
- Courier-wise RTO %
- Product/category-wise return %
Follow the data
Don’t ask:
“Why are my returns high?”
Ask:
“Which marketplace, SKU, category, pincode, courier and order type is creating the highest return loss?”
That question leads to actionable decisions.
The Goal Is Not Zero Returns
Some categories naturally have higher return rates.
Trying to reach zero returns can be unrealistic and may even damage customer experience.
The real objective is:
Fewer avoidable returns + fewer avoidable RTOs + better product information + better delivery execution + better marketplace profitability.
Your return rate should always be evaluated alongside your net profit per delivered order.
Final Takeaway
For Amazon, Flipkart, Myntra, Meesho and other marketplace sellers, returns and RTO should be treated as profitability metrics, not just operational problems.
Separate RTO from customer returns, identify the actual reason for each, analyse the problem by SKU/category/pincode/order type, and then fix the specific source.
And don’t rely on random internet figures for marketplace return rates. If a platform has not publicly disclosed an authentic number, don’t publish an invented percentage. Use reliable category benchmarks and, most importantly, compare them with your own marketplace data.
Want to know more about RTO and customer returns or have any questions? Write your query to us. Path 2 Ecom will guide you properly.