Returns management has become one of the biggest operational challenges in modern retail.
In the United States alone, returns reached
$890 billion in 2024,
while in Spain they are expected to exceed
€13.3 billion annually by 2025.
These figures are not just numbers on a spreadsheet:
they represent strained operations, eroded margins, and — above all — customers who may be lost forever
if the experience is not handled properly.
Why has returns management become one of the biggest challenges for retail and eCommerce?
The explosive growth of eCommerce has brought with it a side effect that many did not anticipate:
the exponential rise in returns.
In 2024, 17% of all retail sales were returned,
a figure that contrasts sharply with the traditional 10% seen in brick-and-mortar stores.
This phenomenon is no coincidence.
Consumers have developed new shopping habits that directly pressure returns management systems.
Bracketing, for example — where customers buy the same product in multiple sizes or colors
and keep only one — affects
nearly two-thirds of global shoppers.
In Spain, one in four buyers engages in this behavior,
rising to 35% among Generation Z.
But there is something even more concerning: wardrobing.
This behavior — buying an item, using it once, and then returning it —
has grown exponentially.
69% of shoppers admitted doing this in 2024, an increase of 39 percentage points compared to the previous year.
In Spain, up to 22% of young consumers acknowledge this practice.
The impact on margins is devastating.
Processing a return can cost approximately
30% of the product’s value,
not including indirect losses.
What are the most common mistakes companies make in returns management?
Manual processes double processing times and generate frustration
for both teams and customers.
Many companies still manage returns using spreadsheets and email communication,
even though current volumes demand integrated and automated systems.
The lack of pre-shipment quality control standards is another critical mistake.
Without proper inspections before dispatch,
defective or mislabeled products reach customers,
virtually guaranteeing a return that could have been avoided.
A revealing data point:
while in previous years “wrong size” accounted for 75% of return reasons,
by 2025 it dropped to 27%,
indicating that actual defects are becoming more prominent.
Unclear return policies generate confusion and complaints
that ultimately lead to more returns.
If customers do not understand deadlines, conditions, or the process,
the experience becomes negative from the start.
77% of shoppers read the return policy before buying online,
and if it is not clear, they simply do not purchase.
The lack of tracking or visibility for customers during the return process
creates anxiety and uncertainty.
In an era where orders can be tracked minute by minute,
not being able to do the same with a return is unacceptable.
Customer service teams that cannot absorb
seasonal demand peaks
tend to collapse precisely when they are needed most,
especially after events like Black Friday or summer sales.
How to design a truly efficient returns process without losing margin
What should a clear and balanced return policy include?
An effective returns policy starts with
total transparency.
Timeframes must be clearly defined (for example, 30 days from receipt),
exceptions should be minimal and well justified,
and the flow must be easy to understand.
Visibility is key:
the policy should not live only on a forgotten web page,
but also appear at checkout,
in confirmation emails,
and on each product page.
Every touchpoint is an opportunity
to set clear expectations and reduce future friction.
What steps should an optimized returns flow include?
An efficient returns flow follows a logical sequence:
process initiation (via a self-service portal),
automatic classification by product type and return reason,
rapid inspection (ideally AI-assisted),
decision on the product’s destination (resale, outlet, recycling),
refurbishment if applicable,
and finally restocking or liquidation.
Every step must be measured and optimized.
Critical KPIs include total processing time
(ideally under 7 days),
the percentage of refunds processed within 72 hours,
and the unit cost per processed return.
How to integrate returns with CMS, ERP, CRM, and WMS?
System integration is essential for effective returns management.
Data must flow seamlessly between the CMS
where the customer initiates the process,
the ERP managing finances,
the CRM recording the interaction,
and the warehouse management system (WMS)
that physically processes the return.
More than two-thirds of companies plan to invest in improving post-sales processes,
recognizing that system fragmentation is one of the main barriers to efficiency.
Which KPIs indicate whether the process is working?
Key indicators go beyond processing time.
The avoidable return rate
(returns that could have been prevented with better information or quality control)
should be constantly monitored.
The percentage of fraudulent returns detected and prevented
is another critical metric,
especially considering they represent around 15% of total returns.
How are leading companies using AI and automation?
Artificial intelligence is revolutionizing returns management.
Computer vision systems can automatically assess
the condition of returned items,
comparing images against quality standards
without human intervention.
AI also optimizes intelligent routing,
automatically determining which facility
each product should be sent to
based on value, category, and customer location.
Chatbots handle return inquiries
and generate shipping labels instantly,
while fraud detection algorithms analyze behavior patterns
to identify suspicious returns before they are processed.
How to turn a return into a customer loyalty opportunity
Transparency, real-time tracking,
and proactive communication are essential.
92% of customers expect to be refunded within one week,
and many become impatient after the sixth day.
Meeting — or missing — this expectation
can determine whether a customer returns.
Smart alternatives make the difference.
Instant exchanges,
where the replacement item is shipped
before the returned product is received,
can double sales retention.
Express refunds,
processed as soon as the customer drops off the package,
build trust and reduce anxiety.
It is crucial to remember that
67% of consumers would not buy again after a poor return experience.
Conversely, an exceptional experience
can turn a potentially negative moment
into a powerful demonstration of service
that strengthens loyalty.
Which companies are setting the standard in returns management — and what can you learn from them?
Inditex (Zara) implemented a bold strategy
by charging a fee for online returns sent by courier
(approximately €1.95),
while keeping in-store returns free.
This move not only reduced logistics costs,
but also increased in-store traffic,
creating additional sales opportunities.
The lesson: a well-designed policy can turn a cost into an opportunity.
Patagonia transformed returns into a sustainable business model
with its “Worn Wear” program.
Returned products are refurbished
and sold on its second-hand platform,
recovering value from items
that would otherwise be a total loss.
This approach improves margins
while reinforcing its responsible brand image
and attracting environmentally conscious consumers.
Amazon set the convenience standard
with its omnichannel return network.
Partnerships with stores like Kohl’s,
combined with automated lockers
and post office drop-off points,
eliminate friction from the process.
In some cases,
Amazon has even experimented with instant refunds
without requiring physical returns
for low-value products,
prioritizing customer experience
over operational cost.
How to apply these returns management strategies based on your company’s size and maturity
For mid-sized companies,
the approach should be pragmatic.
Start by automating the most repetitive processes,
implementing a basic self-service portal,
and establishing clear tracking metrics.
The initial goal should be to reduce processing time
and improve process visibility.
Large, high-volume enterprises
must think in terms of scale and efficiency.
Investment in AI and automation
is quickly justified,
and customer segmentation based on return behavior
enables more sophisticated policies.
Full system integration is critical
to manage volume without losing control.
A realistic roadmap includes:
within 3 months,
establishing clear policies
and improving communication;
within 6 months,
implementing basic automation
and improving system integration;
within 12 months,
deploying AI for inspection and routing,
along with value recovery programs
such as resale or recycling.
How can Xtendo help you solve the main pain points in returns management?
For retailers
facing devastating seasonal peaks
and overwhelmed support teams,
the combination of technology
and specialized human talent
enables operations to scale
without sacrificing quality.
End-to-end post-sales management —
from request intake
to final processing —
can be outsourced
while maintaining full control
over metrics and results.
For eCommerce businesses and marketplaces
struggling with cart abandonment
and online reputation,
specialized post-sales support
that understands digital commerce dynamics
makes a measurable difference.
Intelligent automation of returns and orders,
combined with proactive claims management,
protects brand reputation
while optimizing costs.
Scalable reverse logistics
allows companies to adapt to demand peaks
without fixed infrastructure investments.
The 2X Agent model,
combining generative AI
with human support,
guarantees 24/7 availability
without sacrificing the quality of interaction
customers expect.
Returns management
is no longer a necessary evil —
it has become a strategic opportunity.
Companies that master this process
will not only protect their margins,
but also build stronger customer relationships.
In a market where
84% of consumers would abandon their favorite store
due to restrictive return policies,
excellence in reverse logistics
becomes a true competitive advantage.
The future belongs to those
who see returns not as a problem to minimize,
but as another touchpoint
to demonstrate operational excellence
and commitment to the customer.
The question is not whether to invest
in improving returns management,
but when and how to do it
in a way that drives sustainable business growth.
Frequently Asked Questions about returns management
How can return fraud be reduced without harming legitimate customers?
The key lies in intelligent segmentation
based on historical data.
AI systems can identify suspicious patterns
without applying blanket restrictions
that affect all customers.
For example,
limiting returns only for users
who exhibit anomalous behavior,
while maintaining flexible policies
for customers with a positive history.
What return rate is considered “normal” in fashion eCommerce?
In online fashion,
return rates average
31% for apparel
and 27% for footwear,
significantly higher
than the overall average of 17%.
These figures are normal
due to the nature of the product,
where fit and personal perception
are critical factors.
How can international returns be managed without skyrocketing costs?
Consolidation in regional hubs
and agreements with logistics providers
specialized in cross-border commerce
are essential.
Many European brands
centralize returns from multiple countries
in strategic locations,
leveraging economies of scale.
Which technological tools are best for SMEs vs. large retailers?
SMEs should prioritize scalable SaaS solutions
that do not require large upfront investments.
Platforms like Zendesk or Freshdesk
offer integrated returns management features.
Large retailers can justify investments
in enterprise systems like SAP
or custom solutions with advanced AI.
How can operations and CX teams be aligned to reduce returns?
Constant communication
and shared metrics are essential.
Establish regular meetings
where CX shares insights
on return reasons
and operations presents solutions.
KPIs should reflect shared objectives:
not only operational efficiency,
but also customer satisfaction
and repurchase rate.
