To reduce e-commerce returns, you first need to understand why they occur. Inaccurate product information, incorrect size recommendations, fulfillment errors, damaged packages, or unmet delivery promises each require different solutions.
- Why do your customers return their orders?
- How can you reduce returns before a purchase is made?
- How can you reduce returns related to order fulfillment and delivery?
- How can you update your return policy without hurting conversion rates?
- How can you turn return data into an action plan?
- Which KPIs should you track to verify that returns are decreasing?
- When should you implement a returns management system?
- Reducing returns starts with addressing the root causes
The goal, therefore, is not to make returns more difficult for the customer. A sustainable strategy involves reducing avoidable returns while continuing to properly handle those that are legitimate.
The method is based on a simple principle: start with the primary cause, verify the associated data, implement a specific corrective action, assign the responsible team, and measure the resulting effect. It’s this shift from “we have too many returns” to “here’s the cause we need to address” that truly helps reduce the e-commerce return rate.
Why do your customers return their orders?
An overall e-commerce return rate isn’t enough to determine what needs to be corrected. Two companies can have the same rate but face completely different issues.
Before attempting to reduce this rate, you must therefore distinguish between returns related to the product, those related to logistics execution, and those that are simply due to purchasing behavior.
Distinguishing Between Avoidable, Legitimate, and Behavioral Returns
Not all returns are meant to disappear.
Preventable returns are the priority. They result, for example, from:
- a discrepancy between the description and the product received
- incorrect advice regarding size or use
- a defect or damage
- a picking or preparation error
- a failed delivery promise.
A legitimate return should not automatically be considered a failure. If the customer received exactly what they ordered, under the advertised conditions, adding friction to the customer journey does not address any operational issues.
Segment by product, reason, channel, and time period
A thorough analysis of returns allows you to shift from “we have too many returns” to “this SKU has been seeing a specific reason for returns since a certain period.”
At a minimum, analyze return reasons based on:
- the SKU and category
- size or variant
- the sales channel
- the supplier
- the carrier or service used
- the period.
Example: If the same product is returned more often on a marketplace than on your website, the problem isn’t necessarily the product itself. The difference may stem from the content displayed, the delivery promise, or the information available before purchase.
How can you reduce returns before a purchase is made?
A portion of returns is determined even before the order reaches the warehouse. The more the customer has to guess about a size, color, material, or compatibility, the greater the risk of a mismatch between expectations and reality.
The first step, therefore, is to reduce this uncertainty.
Improve product descriptions, visuals, and usage information
A good e-commerce product page isn’t just meant to convince customers. It should allow customers to verify that the product truly meets their needs.
Key information must be clearly stated: dimensions, material, package contents, compatibility, usage instructions, or included accessories. Visuals should complement this information. A piece of furniture can be shown to scale. A bag can be shown being carried. A technical product can be photographed with its connections.
Above all, use customer feedback to improve the product listings. If “smaller than expected” comes up regularly, the reason should be reported to the e-commerce team.
Make size guides and recommendations more reliable
A generic size guide quickly reaches its limits when cuts differ between two product SKUs.
Therefore, align the recommendation with the product actually sold. A more fitted, shorter, or wider cut must be specified before the order is placed. Also monitor size exchanges. If a product regularly goes from size M to L after a return, this data may indicate a problem with the recommendation, the size chart, or the product design.
Make the Most of Reviews, FAQs, and Pre-Purchase Advice
Reviews and customer service inquiries often highlight what the product description doesn’t explain clearly enough.
One question that comes up repeatedly is worth including:
- to the product page
- to the FAQs
- to the buying guide
- Pre-purchase advice
The e-commerce team must therefore make use of the information gathered from customer service and returns. Otherwise, the same misunderstandings will continue to result in the same product returns.
How can we reduce returns related to order fulfillment and delivery?
Even when the customer has chosen the right product, logistics issues can lead to a return: wrong SKU, wrong variant, damage, or a delay.
It is important to distinguish between two issues here. Preventing errors helpsavoid e-commerce returns. Reverse logistics, on the other hand, manages the processing of a return that has already been initiated.
Ensuring Safety During Picking, Scanning, and Quality Control
One order fulfillment error is particularly preventable: the customer ordered the correct product, but the warehouse shipped a different one.
Scanning allows the picked product to be compared with the expected order. Picking verification adds an extra check before packaging. This process is especially useful when product SKUs are similar—such as the same models with different sizes, capacities, or colors.
Shippingbo makes it possible, in particular, to streamline order-fulfillment processes that incorporate scanning, picking verification, and traceability. The goal is not to claim that all returns can be eliminated, but to reduce the logistics errors that the warehouse can actually address.
Adapt Packaging to the Product
Even a properly prepared product may still be returned if it is damaged during shipping. Analyze damage by SKU, product family, and shipping method. A high concentration of damage on a specific SKU may indicate inadequate packaging or cushioning.
The goal is not to systematically add more material. Packaging must address the observed risk: impact, crushing, movement inside the package, or particular fragility.
This issue warrants separate consideration in the analysis of returns. A Crédoc study published byArcep in February 2026—conducted in the first half of 2025 among package recipients in metropolitan France—shows that 62% of respondents had encountered at least one delivery issue in the previous six months. Among the problems identified, 49% had experienced at least one instance of a damaged package or its contents. While these data do not directly measure the causes of returns, they confirm the value of tracking delivery-related damage separately.
Delivering on the Promise and Better Informing the Customer
A product that fully meets specifications may still be returned if it arrives after the customer no longer needs it.
Therefore, compare time-related returns with:
- the announced date
- the actual delivery date
- the carrier
- the service used
- the period.
Clear tracking information does not eliminate a delay. However, it prevents the customer from discovering too late that a promise has become impossible to keep.
Delivery times warrant the same level of follow-up. In the same Crédoc-Arcep study, 48% of recipients who encountered the problems examined reported having faced missed delivery deadlines or times at least once. Again, this does not mean that every incident results in a return. However, it does justify distinguishing between returns related to delivery delays and those related to product or fulfillment issues.
How can we refine the return policy without hindering conversion?
The return policy influences customer behavior, but it should not be used to mask product or logistics issues.
Charging a customer who received the wrong item does not correct a fulfillment error.
Clarify Timelines, Fees, and Conditions
Customers must be able to quickly understand the timeframes, any applicable fees, and the conditions for their return.
This clarity also reduces the number of exceptions that must be handled manually by customer service.
Free returns should not be eliminated on principle in order to artificially lower the return rate. The decision depends, in particular, on the margin, the product, the reason for the return, and the sales promise.
The sales policy must also comply with the right of withdrawal. In France, for most relevant distance purchases, the consumer has a legal period of at least 14 days from the date of receipt of the goods to change their mind. The merchant must inform the customer, before the order is placed, of this right, as well as its conditions, timeframe, and how to exercise it. A longer commercial period may be offered, but it cannot be shorter than the legal minimum when the right of withdrawal applies (source: Economie.gouv).
Apply different rules depending on the reason, the product, or the customer’s profile
Not all requests need to follow the same process.
A fulfillment error, a damaged product, and a change of mind do not stem from the same cause. Different rules allow for tailored handling without making the process opaque.
The goal is to establish consistent, understandable, and measurable rules.
Prioritize exchanges, store credit, or gift cards when they meet the customer’s needs
A refund isn’t always the only appropriate solution. An exchange rather than a refund may be exactly what’s needed when the customer simply wants a different size or style.
Store credit may also be offered when the customer still needs to make a purchase. However, these alternatives must remain appropriate for the customer’s situation and must not become obstacles to repayment.
How can you turn return data into an action plan?
Simply collecting reasons isn’t enough. The data must lead to a decision.
A database filled with open-ended comments or “other” categories is difficult to use effectively. It must be possible to link a cause to a team and to a corrective action.
Standardize reasons and resolutions
A reason must explain why the product was returned. A resolution explains what was done next.
For example:
Reason: size too small.
Resolution: Exchanged for a larger size.
This distinction allows you to measure the cause and how it was addressed separately.
Use the Cause → Action → Responsible Party → KPI matrix
Every significant issue must have an owner.
If the cause stems from product information, the e-commerce team takes action. If it involves order fulfillment, the logistics team takes action. If it relates to delivery times, the analysis must examine transportation and the promised delivery time.
The KPI must also correspond to the cause being investigated. After improving the size guide, track size-related returns for the affected SKUs—not just the overall return rate.
Prioritize based on volume, margin, and recurrence
The most common cause is not always the most urgent.
To make a decision, cross-reference four criteria:
- number of returns involved
- loss margin
- frequency of the problem
- effort required to correct it.
A common issue that’s easy to fix is a quick win. A less common but very costly problem can also become a priority.
Which KPIs should you track to verify that returns are decreasing?
The e-commerce return rate remains useful, but it should be supplemented with more specific metrics.
In particular, track:
- Return rates by SKU and category
- Return rates by reason
- order fulfillment error rate
- Percentage of returns due to damage or delays
- Percentage of exchanges versus refunds
- Return processing time
- Time to restock.
Above all, we must distinguish three objectives: reducing the number of returns, lowering their cost, and improving their processing.
For example, a company can maintain a stable volume of returns while significantly reducing the amount of time inventory remains tied up.
When should you implement a returns management system?
Implementing a system becomes necessary when teams begin to lose control over the reasons for returns, the rules, or operational tracking.
There are several telltale signs: non-standardized reasons for returns, exchanges tracked manually, numerous after-sales service exceptions, returned inventory that is difficult to locate, or an inability to link customer requests to warehouse processing.
An e-commerce returns management software does not automatically reduce the number of returns. Above all, it helps organize data, apply rules, and ensure reliable execution. This is precisely the role assigned to the tool in the brief.
Baback for the portal, rules, patterns, interactions, and analytics feedback
Baback focuses primarily on the customer journey.
He helps structure the portal, return reasons, applicable rules, and alternatives offered to customers—such as exchanges when they meet the customer’s needs. This structuring also makes the data more actionable for detecting recurring issues.
Shippingbo for logistics execution, monitoring, traceability, and restocking
Shippingbo focuses more on operational execution. It is built on three complementary pillars: theOMS (Order Management System) to centralize and coordinate orders, the WMS (Warehouse Management System) to manage warehouse operations, and the TMS (Transport Management System) to manage shipping and transportation rules. When it comes to reducing avoidable returns, it is primarily the integration between the OMS and the WMS that helps ensure more reliable order fulfillment, quality control, and traceability, while the TMS helps ensure reliable transportation execution and delivery tracking.
The combination of Baback and Shippingbo thus connects two complementary aspects: the customer journey and customer-side data, and the logistics operations on the warehouse side.
Reducing returns starts with addressing the root causes
To reduce e-commerce returns in the long term, avoid making blanket decisions based on a single rate.
Start by determining whether the problem stems from product wait times, size, preparation, shipping, or purchasing behavior. Then assign an action, a person in charge, and a KPI to each significant cause.
Shippingbo helps teams ensure reliable logistics operations, track returns, and speed up the process of returning products to the correct inventory. In partnership with Baback, it also helps organize the return process, identify reasons for returns, and offer alternatives to refunds.
Request a demo of our returns management solution. Organize your return reasons and rules, reduce preventable operational errors, promote alternatives to refunds, and ensure reliable processing all the way through restocking.
FAQ
To reduce e-commerce returns, start by segmenting returns by reason, product, category, channel, and time period. The goal is to identify the causes that generate the most avoidable returns: insufficient product information, sizing issues, fulfillment errors, damage during shipping, or unmet delivery promises. Each cause should then lead to a specific action. A sizing error calls for improvements to the sizing guide or recommendations. A fulfillment error should lead to a review of picking, scanning, or quality control. An increase in damage requires an analysis of packaging and shipping conditions. The most important thing is to link each problem to a responsible party and a KPI.
The causes of e-commerce returns generally fall into four main categories. The first involves a discrepancy between the customer’s expectations and the product received: dimensions, color, material, size, or intended use. The second stems from logistics issues, such as an incorrectly picked item, the wrong variant, or an undetected defect. The third category involves delivery issues: damaged packages, delays, or unmet delivery promises. Finally, some returns are linked to purchasing behavior, such as a change of mind or ordering multiple variants. These different scenarios should not be treated the same way, as only some can actually be prevented through corrective action.
Not necessarily. Charging for returns can change certain behaviors, but it doesn’t fix a poor e-commerce product listing, a fulfillment error, or a damaged product. If these issues account for a significant portion of return requests, tightening the return policy risks shifting the problem toward customer satisfaction or conversion. The decision must therefore be based on the reason for the return, the product category, the profit margin, and the sales promise. A more effective approach is to distinguish between returns attributable to the company and those resulting from a change of mind, and then apply consistent and understandable rules depending on the situation.
E-commerce returns management software becomes useful when return reasons are poorly organized, rules are multiplying, exchanges are difficult to track, or teams are losing visibility into processing and restocking. The tool does not automatically reduce the number of returns. Above all, it helps collect return reasons more effectively, apply rules, offer alternatives such as exchanges, and ensure reliable logistics execution. In the approach outlined here, Baback primarily structures the customer-facing return process, while Shippingbo handles execution, monitoring, traceability, and restocking.
Glossary
SKU
A unique identifier assigned to a product SKU or a variant, such as a size or color.
Picking
The process during which the picker retrieves the items needed for an order from inventory.
Picking Check
A verification—often by scanning—that the picked products match those specified in the order.
Reverse logistics
the set of operations required to return a product from the customer to the company, then inspect it, restock it, repackage it, or redirect it to another destination.
KPI
An indicator used to measure performance or track the impact of an action, such as the return rate by reason or the picking error rate.
OMS
Order Management System, software that centralizes and coordinates orders from various sales channels.