Post-Holiday Returns: The Second Peak Season Most E-Commerce Brands Still Aren't Planning For

Every logistics leader in European e-commerce knows what Q4 peak season looks like. Warehouse teams scale up, carrier contracts get renegotiated, and marketing calendars get built around Black Friday and the December rush. Far fewer teams build the same level of preparation for what comes next: the returns wave that follows every holiday season, and that regularly outpaces the volume it is reacting to.

Industry data from the National Retail Federation puts the average online return rate at close to 19 percent for 2025, and holiday season returns typically run well above that baseline. Multiple carrier and logistics surveys report post-holiday return rates climbing into the 40 to 50 percent range for the weeks immediately following December, more than double what most operations teams budget for. That gap between what leadership expects and what actually lands in the returns queue is where January becomes, quietly, the second busiest and most expensive period of the year.

At Zineps we work with e-commerce brands shipping across Europe every day, and the pattern is consistent. Teams plan meticulously for outbound peak volume. Almost none build the same rigor into inbound peak volume. That asymmetry is the single biggest reason returns season becomes a fire drill instead of a forecasted event.

Why the January Surge Catches Even Experienced Teams Off Guard

Three structural reasons explain why post-holiday returns keep surprising operators who otherwise run tight logistics operations.

Gift Purchases Behave Differently Than Regular Orders

A large share of December volume is gifted rather than self-purchased. Gift recipients did not choose the size, color, or product themselves, which pushes return likelihood up substantially compared to a normal transaction. Extended holiday return windows, often 60 or 90 days instead of the usual 14 or 30, mean this volume does not all land in one predictable week. It arrives in waves through January and into March, which makes staffing and capacity planning harder than a single, sharp spike would be.

Finance and Operations Plan on Different Calendars

Returns are simultaneously a logistics event, a customer service event, and a finance event. In most organizations these three functions forecast independently. Operations plans warehouse labor around outbound shipment volume. Finance closes the fiscal year and books expected revenue before the returns wave has even started. By the time refund liabilities show up on a February balance sheet, the operational decisions that could have reduced them were made months earlier, or not made at all.

Returned Inventory Carries a Hidden Time Cost

A returned item is not immediately sellable stock. It has to travel back to a warehouse, get inspected, get restocked or written off, and then get reflected in available inventory across every sales channel. Depending on carrier transit times and warehouse processing capacity, that cycle commonly takes two to four weeks per unit. During peak returns season, when inbound volume is highest and warehouse labor is most stretched, that cycle lengthens further, tying up capital in stock that looks available on paper but is not actually sellable yet.

What an Unplanned Returns Peak Actually Costs

The financial exposure is larger than most finance teams model. Take a mid-sized e-commerce brand that ships 10,000 orders during a holiday peak period at an average order value of 60 euros. Even a conservative post-holiday return rate of 30 percent means 3,000 units coming back, representing 180,000 euros in refund liability moving through the business in a compressed window. Push that return rate toward the 40 to 50 percent range that several recent industry reports have flagged for January, and the figure climbs past 250,000 euros for the same order volume.

That number does not include the secondary costs: reverse shipping fees, warehouse labor for inspection and restocking, customer service headcount for return status inquiries, and the opportunity cost of inventory that sits in limbo instead of being resold. Brands that treat returns as a customer service line item rather than a supply chain event consistently underestimate the total by a wide margin, because most of the real cost sits outside the customer service budget entirely.

Category matters too. Apparel and footwear, where fit and gifting drive most purchases, routinely return at two to three times the rate of electronics or home goods. A brand selling across multiple categories cannot use one blended return assumption and expect an accurate forecast; the model has to be built at the category level to be useful.

Building a Returns Playbook Before the Rush, Not During It

The brands that handle post-holiday returns well share a common trait: they build the plan in the quieter months, not in the middle of the surge. Here is the framework we recommend to shippers on the Zineps platform.

1. Forecast the Spike Separately From Outbound Volume

Do not fold returns forecasting into general peak season planning. Build a dedicated return volume model based on historical return rate by product category, gift purchase share, and return window length. A summer dress with a 45 day return window behaves completely differently than an electronics accessory with a 14 day window, and the forecast should reflect that granularity rather than a single blended assumption.

2. Automate Return Authorization and Carrier Routing

Manual return approval is the single biggest bottleneck once volume climbs. Automated rules that approve straightforward returns instantly, generate the right label for the right carrier based on live rate and capacity data, and route exceptions to a human only when needed, can cut processing time from days to minutes. This is exactly the layer Zineps was built to sit in: one connected view across every carrier and every return, rather than a patchwork of carrier portals and spreadsheets.

3. Convert Refunds Into Store Credit at the Decision Point

Retailers who actively offer store credit as the default return outcome, rather than a buried alternative, see conversion into credit rise sharply compared to those who do not surface it. Every euro that becomes store credit instead of a cash refund stays in the business and often gets spent on a second, incremental order. Building this into the return flow itself, rather than as an afterthought in a support ticket, is one of the highest leverage changes an e-commerce brand can make heading into returns season.

4. Reconcile Returned Inventory in Real Time

The gap between physically returned and available to sell again is where inventory accuracy quietly breaks down. Real-time reconciliation between the returns process and the inventory system closes that gap, so a returned unit becomes sellable stock the moment it clears inspection rather than sitting unreconciled for weeks.

5. Give Finance and Operations a Shared View

The forecasting failure described earlier is fundamentally a data sharing failure. When operations, finance, and customer service all work from the same live returns dashboard instead of three separate spreadsheets, refund liability, inventory impact, and staffing needs all become visible at the same time, to the same people, on the same day.

A Quick Self-Assessment Before Your Next Peak Season

Five questions worth asking your team this month, while there is still time to act on the answers:

• Do we forecast returns separately from outbound volume, by category?
• Can a straightforward return be approved and labeled without a human touching it?
• Is store credit the default option we present, or something a customer has to ask for?
• How many days pass between a parcel arriving at the warehouse and that unit showing as sellable again?
• Do operations and finance look at the same returns dashboard, or two different spreadsheets?

If more than one answer makes the team uncomfortable, that is the starting point for the playbook, not a reason to wait until November to fix it.

How Zineps Approaches Returns as Infrastructure, Not an Afterthought

We built Zineps around a simple premise: shipping and returns should run on one connected operating layer, not a collection of disconnected tools bolted together after the fact. As the operating system for shipments, Zineps gives e-commerce brands one platform to manage outbound shipping, return labels, carrier selection, and real-time tracking across every carrier and every market, without switching between systems when volume spikes.

For returns specifically, our platform automates return label generation, gives customers a branded self-service returns portal so they never have to open a support ticket for a standard return, and gives operations teams live visibility into where every returned parcel is in transit. When logistics partners, carriers, and fulfillment providers all report into the same system, a returns surge stops being an emergency and becomes a forecasted, manageable event, exactly the outcome the framework above is designed to produce.

The Bottom Line

Peak season does not end in December. For most European e-commerce brands, the second half of it starts in January and runs well into the following months, and it is frequently more expensive per order than the outbound rush that preceded it. The brands that treat post-holiday returns as a planned operational event rather than a reactive scramble consistently protect more margin, recover more inventory faster, and keep customers loyal through what is, for many shoppers, their very first real interaction with a brand's service quality.

July is not too early to build that plan. If last January was a scramble, the months between now and the next one are exactly the window to fix it.

Ready to see how a connected shipping and returns platform changes peak season math? Explore the Zineps returns platform or talk to our team about building a 2026 holiday returns playbook.