From cost center to source of insight: How toern.AI is revolutionizing returns management through AI insights
For years, returns have been one of the biggest economic challenges in fashion e-commerce—more than one in every two fashion items ordered online is sent back. But while sales figures only show which products are in demand, the associated return data explains the crucial "why." It reveals why products are ultimately returned despite high sales—and how this could be prevented.
August 12, 2026

As an automated returns management software for D2C brands, toern transforms your returns from a pure drain on margins and time into a lever for data and revenue. With toern.AI we make unstructured customer data fully usable automatically and in real time for the first time: Instead of waiting months for reports, you understand immediately why products are being returned and fix the root causes before high return rates occur.
→ Discover toern.AI now and leverage your return data
The untapped gold in fashion e-commerce: Why the reasons for returns usually remain hidden
More than one in every two fashion items ordered online is returned. But for most retailers, the return process remains purely logistical—checking the goods, processing the refund, and restocking. The actual potential of the data remains untapped:
- Decentralized data silos: Valuable feedback lies scattered across free-text fields, email inboxes, or service tickets.
- High manual effort: Unstructured free text is nearly impossible to analyze systematically without AI.
- Delayed reactions: Systematic errors (such as sizing issues) are often only identified weeks or months later—after high return costs have already been incurred.
The reality: To sustainably reduce returns, it is not enough to know how many items are coming back. What matters is the Why.
toern.ai uncovers hidden patterns in your returns - in real time
We are reimagining returns management: as your most honest and valuable data source. toern.AI automatically reads, understands, and structures your customers' feedback directly at the product level.
With toern.AI, you:
- consolidate all customer feedback clearly in one central location
- identify recurring patterns and weaknesses in seconds
- instantly distinguish between product defects and fixable content issues
- make data-driven decisions right in the middle of the season
No manual Excel analysis. No waiting around.
Get insights from your customer feedback in 4 steps with toern
1. Automatically capture feedback Your customers provide feedback, comments, and reasons during the returns process.
2. Real-time AI analysis toern.AI analyzes the text in the background, reads statements contextually, and clusters similar feedback points.
3. View insights at the product level In the toern dashboard, data is aggregated, processed, and displayed clearly for each individual item.
4. Optimize with precision Use clear, actionable recommendations to immediately adjust shop content, sizing guides, or product development.

Understand customer feedback and take immediate action: How toern.ai analyzes your returned items
toern.AI filters out the noise and provides you with precise tools at the product detail level:
- Top Recurring Issues: Recurring issues and patterns become visible at a glance (e.g., "item runs one size small").
- Top Functional Issues: Functional defects or quality issues (e.g., problems with zippers or seams) are isolated immediately.
- Direct actionable recommendations: The AI immediately indicates whether the problem lies with the product itself or if simple adjustments to the product detail page (e.g., more precise size charts) can prevent future returns.
You receive data-driven insights at the push of a button—exactly where they are needed.
Reducing the burden on customer support with AI: Higher customer satisfaction for special cases
Artificial intelligence doesn't just optimize your products; it also takes your support processes to the next level. Individual return messages and complex cases are automatically analyzed and structured by toern.AI.
Instead of rigid standard responses, your customer care team receives tailored resolution suggestions, precisely matched to each customer's situation. This saves valuable time in support and protects your customer relationships at the critical point where around 80% of customers churn after a bad experience.
For efficient support instead of a chaotic inbox.
With toern.ai, insights from your returns become the most valuable data source for your products
While most companies still view returns primarily as an operational process—checking goods, processing refunds, restocking—toern.AI turns them into your strategic advantage.
With toern.AI, you:
- make unstructured data from free-text fields and forms usable in real time
- identify systematic issues right at the start of the season instead of weeks or months later
- make data-driven decisions for your assortment, product development, and shop content
- increase customer satisfaction in support through tailored resolution suggestions
"Returns are often viewed merely as a cost center. In reality, they are one of the most honest forms of customer feedback. Anyone who understands why products are returned gains valuable information for their assortment, product development, and customer experience. Within our returns management platform, this knowledge is made actionable in real time for the first time. Retailers no longer have to wait months for reports; they can make informed decisions while a season is still underway."
Alena Schneck, Founder of toern
Get started with toern now and gain insights into your products and customer wishes from your return data
Use honest feedback from your customers to improve products, prevent return causes from arising in the first place, and sustainably increase your profitability.
Want to learn more about toern's returns solution? Book your Demo Call or contact us via our contact form.
FAQs:
Why isn't it enough to just know the number of returns?
Sales figures and raw return rates only show what and how much is being returned. To sustainably reduce returns, however, you need to understand the specific why behind them. Only by identifying the exact causes—such as fit, material quality, or inaccurate product descriptions—can you effectively address weaknesses in your product range or online shop.
Where does the data that toern.AI analyzes come from?
The data usually already exists within your returns process, for example in the form of individual customer comments, free-text fields, or information provided in the returns portal. Often, however, this information is disorganized and difficult to read, scattered across different locations. toern consolidates it into one central dashboard and uses AI to process and analyze it.
What specific insights does toern.AI offer at the product level?
The dashboard provides three key insights per product at the touch of a button:
- Top Recurring Issues: Recurring issues and patterns at a glance.
- Top Functional Issues: Functional defects or quality anomalies.
- Direct Actionable Recommendations: A clear classification of whether the root cause lies with the product itself (e.g., quality) or if adjustments to the shop (e.g., product descriptions) can resolve the issue.
How does toern's AI support customer service with complex cases?
The AI automatically analyzes incoming return messages and special cases. Instead of relying on rigid, standardized responses, service agents receive concrete resolution suggestions tailored to each specific situation, ensuring high customer satisfaction.
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