Financial
Most retailers undercount what a return actually costs. Once depreciation, opportunity cost, write-off, and customer-service overhead are properly attributed, returns are typically 2 to 3 times more expensive than spreadsheet defaults suggest.
Most fashion retailers undercount the cost of a return. The visible line items, outbound carrier and warehouse handling, are the obvious bits and the ones that show up directly on supplier invoices. Everything else, depreciation, opportunity cost, write-off probability, customer-service overhead, tends to sit somewhere else on the P&L or nowhere at all. Once those costs are properly attributed back to returns, the actual unit economics of a return are typically two to three times worse than the headline number that retailers use in board meetings and investment cases.
This matters because almost every decision around returns (whether to charge for them, how much to invest in reduction, whether to evaluate alternative routing models) depends on having an accurate cost number. A retailer working from an under-counted cost will systematically under-invest in reduction, accept too much volume, and miss opportunities that look obvious once the numbers are right. This article walks through the cost components most retailers miss, then sketches a working model for putting them together.
The two costs that consistently make it into return cost estimates:
Outbound carrier cost runs roughly €4 to €8 per return for domestic European shipping, more for cross-border. Carrier rates vary by country, weight, dimensions, and contract terms. Retailers with returnless or label-free return arrangements may pay slightly different effective rates, but the underlying transport cost is similar.
Warehouse receiving and inspection runs €3 to €5 per item in conventional fashion distribution centres, including labour, scanning, condition coding, and returning to inventory. Higher in markets with elevated labour costs, lower in highly automated facilities. Repackaging materials add another €1 to €2 per return on average, sometimes more for items that ship in branded outer packaging.
Added together, these visible costs total around €8 to €15 per return for a typical European fashion retailer. This is the number most spreadsheets stop at. It is also where most retailers stop counting.
Returns sit in pipeline. They take three to ten days to reach the warehouse, another five to fourteen business days to be inspected, processed, and listed back in inventory. Across that two-to-four-week window, the item is not available for sale, and depending on the category and the calendar, it may be losing value while it sits.
Fashion is particularly exposed. A coat returning fourteen days after purchase is fourteen days closer to becoming last season. A swimsuit returning at the end of August will not sell at full price again until the following May. Markdown cycles compound this further: an item bought at 30% off, returned three weeks later, often cannot be resold even at the same discount because the sale has ended and the new collection is now occupying the shelf space and marketing focus.
A practical estimate, drawn from operational data across European fashion retailers, places depreciation losses at 5% to 15% of item value per return. The range is wide because category, season, and brand positioning all matter. Within a single retailer's catalogue, the variance from one SKU to another can be larger than the average. A perfectly resaleable basics item might lose only 2% in pipeline; a mid-season trend item might lose 25%.
Depreciation is rarely captured as a return cost line on the P&L. Instead it shows up indirectly as inventory write-down, missed full-price revenue, or markdown spend, and is attributed to merchandising rather than returns. Treating it as a return cost makes the trade-off between speed and inspection visible: faster routing (including peer-to-peer alternatives) reduces depreciation exposure directly.
Every item in the return pipeline is an item not satisfying current demand. Every square metre of warehouse floor allocated to return processing is a square metre not allocated to outbound fulfilment. Every hour of warehouse labour spent receiving and inspecting returns is an hour not spent picking and packing new orders.
Most retailers treat the warehouse as a fixed cost and ignore the marginal allocation question. This works while warehouses have spare capacity. It stops working in two situations: peak season (when capacity is the binding constraint) and longer-term growth (when scaling outbound forces a question about how much space and labour returns can keep using).
A simple opportunity-cost model: warehouse cost per square metre per month, multiplied by the share of floor space dedicated to returns processing, divided by return throughput. For a typical European fashion warehouse, this comes out to roughly €1 to €3 per return purely as space-allocation cost. Add labour opportunity cost (the labour reallocated from outbound to returns during peak), and the figure climbs further during the months that matter most.
For smaller retailers using third-party logistics, this cost is often hidden inside per-pick or per-pack rates. The 3PL is allocating their own capacity and pricing accordingly. The economics still apply, just at one remove.
Industry research, including a widely cited Ben-Gurion University study, places the write-off rate for returned fashion items at around 18%. Reasons vary: physical damage in transit or in handling, condition that does not meet the resale threshold, the return arriving outside the season window, and a small but stubborn share of fraud (item swap, empty box, used and returned).
Written-off items do not just lose their resale value. They typically also incur disposal costs, particularly for textiles where ESPR rules now restrict outright destruction by larger companies and EPR fees apply at end of life. Donation and recycling pathways are often net-cost rather than net-revenue.
Attributing write-off cost to returns properly means: full margin loss on the written-off share, plus disposal cost on those items, prorated across all returns. For a retailer running an 18% write-off rate on items with a 50% gross margin, this adds roughly 9% of average item value to every return, before disposal cost is even counted. On a €60 item, that is around €5 to €6 per return, every return, just to absorb the share that will not make it back.
The single most common returns-related customer-service contact, across nearly every retailer, is some variation of "where is my refund?". This is unavoidable when refund cycles run two to four weeks: customers worry, customers contact, agents respond. Each contact costs €2 to €8 depending on channel, with email cheapest and phone most expensive.
Frequency varies, but at many fashion retailers 30% to 40% of returns generate at least one customer-service contact. Multiply that against per-contact costs, and the customer-service line attached to returns is meaningful. It is also almost always invisible: tickets are categorised under "customer service" or "refunds", not under "returns", so the cost lives on a different cost centre.
Two other contact categories that belong to returns: condition disputes (items the customer claims arrived damaged that the warehouse codes as returnable) and policy disputes (customers contesting a decision on whether a return qualifies). Both are low-frequency but high-cost when they happen, often involving escalation and refund overrides.
A reasonable estimate, in retailers we have seen modelled properly, adds €1 to €4 per return on average for customer-service costs. The variance is high because some retailers' returns processes generate few contacts and others generate many. Self-service refund tracking, fast refund cycles, and clear communication all reduce the contact rate.
A workable per-return cost model brings all the components together. The structure:
A worked example for a €60 dress with a 30% return rate, two-week return cycle, and 20% write-off probability:
The true cost per return: roughly €25, more than double the typical €8 to €10 figure that the visible line items alone produce. This is the number to plug into return-related decisions, not the simpler one.
The model can be made more sophisticated, with per-SKU depreciation, per-channel customer-service costs, time-of-year adjustments, and so on. Most retailers benefit far more from getting the simple model right than from refining it.
Once a retailer runs the proper model, several things tend to look different than they did at the visible-cost level.
Charging for returns becomes economically obvious. A return shipping fee of €3 to €5 starts looking more like a fair sharing of cost than a customer hostility move, because the actual cost of accommodating that return is much higher than €3 to €5.
Investment in return reduction has higher payback than typical projects. A 1% reduction in the return rate, calculated against the proper cost number, is often worth more than a 1% increase in conversion. Retailers under-invest here because their cost numbers are too low.
Alternative return routing becomes economically obvious. When the true cost of warehouse-routed returns is properly attributed, alternative return models become economically attractive. Peer-to-peer return forwarding (routing returns directly to next buyers without warehouse processing) eliminates the largest line items in this analysis (warehouse handling, opportunity cost) while reducing depreciation exposure. We build this at It Goes Forward, though the broader point is that retailers running proper return cost models tend to find that the conventional warehouse-routing model is no longer the most efficient option for the majority of returns. For more on the routing options, see our explainer on peer-to-peer returns. For the technical integration question that usually follows the financial one (how does this work with our ERP?), see our reference on ERP integration patterns for peer-to-peer return forwarding.
The CFO and operations conversation gets easier. When return costs are accurately stated, the trade-offs around capacity, automation, and customer experience clarify. Decisions that looked like discretionary spend (reducing returns, restructuring policy, investing in alternative routing) start looking like obvious capital allocation.
Getting the cost number right is the prerequisite for almost every other returns decision. Retailers who keep working from the under-counted version will keep making decisions that look rational at the wrong number.
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