The Return Reality in German E-Commerce
Here is a number that many Shopify merchants underestimate: In Germany, roughly every ninth online order gets returned. That sounds manageable -- until you look at the absolute numbers. Over 530 million packages are sent back to merchants every year. In the fashion sector, the rate is even more dramatic: More than every fourth clothing item is returned, and for shoes the rate exceeds 20%.
And here is where it gets really interesting: 29% of German online shoppers openly admit that they intentionally order more than they plan to keep. The "try-on order" is standard practice for many customers -- order three sizes, keep one.
This is not a complaint. It is the reality every e-commerce merchant has to work with. The question is not whether you will have returns, but how profitable you can be despite them.
What a Return Really Costs
Most merchants only think about the shipping costs of a return. But the actual costs are significantly higher when you factor in everything.
The Hidden Cost Components
18% of online merchants estimate their return costs at under 5 EUR per return. 30% assume 5-10 EUR. But when you honestly add everything up -- including handling, quality inspection, restocking, depreciation, and customer service -- the real total cost lands at 20-25 EUR per return.
| Cost Factor | Cost per Return |
|---|---|
| Return shipping (label, logistics) | 4-6 EUR |
| Quality control & inspection | 4-7 EUR |
| Restocking & handling | 2-4 EUR |
| Customer service (WISMO inquiries) | 3-7 EUR |
| Depreciation (opened goods) | 5-15 EUR |
| Administration & refund processing | 2-3 EUR |
For a shop processing 200 returns per month, that amounts to 4,000-5,000 EUR monthly -- just for handling returns. For fashion shops with high return rates, this can quickly consume the entire margin.
The Impact on Profitability
Studies show that high return rates (25-40%) can reduce net margins by 8-12%. For a shop with 500,000 EUR in annual revenue and a 30% return rate, that means: 40,000-60,000 EUR less profit per year -- from returns alone.
The WISMO Problem: "Where Is My Order?"
There is one question that probably accounts for 30-40% of your entire customer service volume: "Where Is My Order?" (WISMO)
The numbers are clear:
- WISMO inquiries make up 30-50% of all support requests
- During peak season (December/January), volume increases by another 72%
- Each WISMO inquiry costs an average of 3-7 EUR in processing time
- 87% of customers say real-time tracking improves their shopping experience
- 59% of customers say missing tracking information negatively impacts their brand loyalty
The paradox: Most of these inquiries are completely unnecessary. The information exists -- it sits with DHL or another carrier. It simply is not communicated proactively to the customer. The customer has to search, finds nothing comprehensible, and contacts support.
Why Manual Return Processing Does Not Scale
Imagine you are processing 50 returns per week manually. For each return:
- Customer sends an email or uses a contact form
- Support agent reads the request, verifies the order
- Support manually creates a DHL return label
- Label is sent to the customer via email
- Customer prints the label and drops off the package
- Package arrives at the warehouse -- without the customer being notified
- Goods are inspected
- Refund is manually triggered
- Customer follows up 1-2 times asking about the status
Total effort per return: 15-20 minutes. At 50 returns per week, that is 12-16 hours of pure return processing. Half a full-time position -- just for returns.
And the worst part: The process is error-prone. Labels get sent to wrong addresses, refunds get forgotten, status updates are not communicated. Each of these errors creates additional support workload.
How Automated Return Management Works
A DHL integration for Shopify replaces the entire manual process with an automated workflow. The difference is fundamental:
The Automated Return Workflow
- Customer initiates a return -- via a self-service portal directly in the shop (no email back-and-forth)
- Return label is generated automatically -- DHL label sent via email or as a QR code to the customer's smartphone
- Customer drops off the package -- at a DHL location or Packstation
- Real-time tracking -- The customer sees where their package is on a branded tracking page
- Automatic status updates -- Emails at every milestone (in transit, received, inspected, refunded)
- Refund is triggered -- automatically after goods are received and inspected
Total effort per return: under 1 minute (only the quality inspection at the warehouse remains manual).
Paperless Returns with QR Codes
DHL now offers paperless returns. Instead of printing a label, the customer receives a QR code on their smartphone. They present it at a DHL location or Packstation, and the label is printed on-site.
Benefits: No printer needed (relevant for an entire generation that does not own one), less material waste, and QR codes are harder to forge than printed labels.
Branded Tracking Pages
Instead of sending customers to the generic DHL tracking page, you display the shipping status on a page in your own shop design. This provides two concrete advantages:
WISMO Reduction: Companies that offer real-time tracking through their own pages report up to 70% fewer support inquiries about shipping status. The customer finds the answer themselves -- without contacting support.
Cross-Selling Opportunity: The tracking page is viewed an average of 3-5 times per order. That is 3-5 additional touchpoints where you can recommend products, highlight promotions, or offer newsletter sign-ups.
Reducing Returns: What Actually Works
Automation makes returns cheaper. But it is even better to prevent returns in the first place. Here are the strategies that, according to studies, have the greatest impact:
1. Improve Product Descriptions and Images
64% of all e-commerce returns happen because the product looked different than described online. This is by far the most common reason for returns.
What helps:
- At least 4-5 high-quality photos from different angles
- Photos on real people (for fashion), not just flat-lay shots
- Exact measurements in centimeters, not just S/M/L
- Material composition and care instructions
- Videos showing texture, fit, and size proportions
2. 3D Models and Augmented Reality
Shops that have implemented 3D product models were able to reduce their return rate by 5%. For furniture and home decor, the effect is even greater -- when customers can virtually place a sofa in their living room, they are far less likely to order the wrong size or color.
3. AI-Powered Size Recommendations
Especially in fashion, where return rates can exceed 50%, intelligent size recommendations are invaluable. Tools that suggest the right size based on body measurements and previous orders can reduce return rates by 10-15%.
4. Customer Reviews with Size Information
"Runs small" or "True to size" -- this information from real buyers is often more valuable than any size chart. Actively encourage customers to include fit feedback in their reviews.
5. Optimize Packaging
Damaged goods are a frequent return reason that is often overlooked. Investing in better packaging costs 0.50-2 EUR per package -- significantly less than the 20-25 EUR cost of a return.
The Return Policy Decision: Free or Paid?
One of the most debated questions in German e-commerce: Should returns be free?
85% of German online shoppers say that a clear and free return policy is important for their purchase decision. At the same time, 40% of German online merchants have now introduced a return fee -- the trend is clearly moving away from "everything free."
The average return fee in Germany is 5.66 EUR.
What the Data Shows
- Free returns increase conversion rates and average order value
- Paid returns reduce return rates by 10-20%, but can also decrease conversion rates
- 92% of customers will buy again if the return process was easy -- regardless of whether it was free
The answer depends on your business model. For fashion with high return rates, a small fee can significantly improve profitability. For electronics or groceries, where return rates are below 10%, free returns make more sense as a conversion booster.
ROI Calculation: What Does Automation Actually Deliver?
Let us take a realistic Shopify shop: 300 orders/month, 11% return rate = 33 returns/month.
| Metric | Manual | Automated |
|---|---|---|
| Processing time/return | 15-20 min | < 1 min |
| Cost/return (handling) | 20-25 EUR | 5-8 EUR |
| Monthly return costs | 660-825 EUR | 165-264 EUR |
| WISMO inquiries/month | ~25 | ~5 |
| Support time for WISMO | 4-5h/month | < 1h/month |
| Monthly savings | -- | ~500-600 EUR |
For larger shops, the savings multiply accordingly. A fashion shop with 2,000 orders/month and a 30% return rate (600 returns) saves 7,000-10,000 EUR monthly through automation.
The Key Takeaway
Returns are not going away in German e-commerce. The legally mandated 14-day withdrawal period, the "try-on culture," and rising customer expectations ensure that returns are part of the business.
The question is how you deal with them. Merchants who treat returns as a nuisance and handle them manually lose money and customers. Merchants who automate the process, leverage data, and optimize the customer experience turn returns into a competitive advantage.
Because 92% of customers will buy again if the return process was easy. A good return process is not a cost center -- it is a customer retention tool.