January Is Your Second Peak Season. Is Your Returns Operation Ready?

Peak season does not end when the last BFCM order ships or the last gift gets wrapped. It ends in the second week of January, when your returns queue hits the highest volume it will see all year. If your operation is not built for that moment, you find out the hard way, in real time, with customers watching.

The surge is not a cleanup week, it's a second peak

Ecommerce peak season runs from late October through early January. Most operators plan hard for the front half: inventory buys, carrier contracts, fulfillment staffing, marketing calendars. Far fewer plan with the same intensity for what happens after.

In the first two weeks of January, return and exchange volume spikes sharply. Shoppers are processing unwanted gifts, requesting size exchanges, and working through plain impulse-buy regret from BFCM deals that looked better in November than they do in the cold light of a credit card statement.

Industry-wide return rates already run 19 to 30 percent depending on category. Apparel and gifting-heavy categories sit at the high end of that range, and January concentrates a disproportionate share of the year's returns into a two to three week window. That is not a tail event. That is a second peak season, with its own volume curve, its own staffing needs, and its own failure modes.

Why this crunch hits harder than BFCM itself

BFCM is a demand problem. You know roughly when it is coming, you can staff up for it, and the work is mostly one directional: get orders out the door.

The January returns crunch is a concurrency problem, and that makes it structurally harder to manage. Your team is processing inbound returns while still handling residual December fulfillment. You are restocking inventory from returned items at the same time you are trying to get new orders shipped on time. You are issuing refunds and store credit while reconciling settlement data from a month that had far more transaction volume than normal.

None of these tasks are optional and none of them can simply wait. A refund that sits unprocessed for two weeks turns into a chargeback risk. Inventory that does not get restocked fast enough turns into a stockout on a bestseller during your highest-traffic returns window. Every function in the operation is competing for the same limited hours from the same limited team, right when that team is already worn down from Q4.

Why September is already late to start planning

Here is the part most operators get wrong: they treat returns planning as a December task. It is not. It is a Q2/Q3 task, and if you have not started yet, the clock is already working against you.

Integration work with a returns platform, fulfillment partner negotiations, and system testing all take months of lead time, not weeks. You need time to configure your returns rules, test the customer-facing flow, connect it to your fulfillment and inventory systems, and run it through at least one full order cycle before volume hits. Rushing that work in November means launching an untested process during your highest-stakes month, which is close to the worst possible time to discover a bug.

Today is September 18, 2026. That gives you roughly ten weeks before BFCM starts driving order volume, and BFCM orders are the ones that come back in January. If your returns operation is not locked in before Black Friday, you are not planning anymore, you are scrambling, and scrambling in December costs more than it saves.

What "ready" actually looks like

A returns operation that is ready for January is not one that simply has a returns page on the website. It is one where four things are true at once.

First, the customer-facing flow is self-service and fast, so your support team is not manually processing every return request during your busiest month. Second, the fee structure and label costs are set up in advance, not decided reactively as volume climbs. Third, restocking and inventory updates happen automatically as returns are processed, instead of piling up in a manual queue. Fourth, you have outcomes beyond a full refund built into the flow, so not every return automatically becomes a straight loss.

That last point matters more than most operators realize. Every return processed as a full refund is revenue that leaves the business and a customer relationship that ends at the return. Every return processed as store credit, a partial refund, or a keep-the-item resolution keeps some or all of that value in the business, and often keeps the customer too.

The math behind revenue-retaining resolutions

Think about what a full refund actually costs versus what a store credit or keep-the-item resolution costs. A full refund returns 100 percent of the order value to the customer, reverses the sale entirely, and often requires a return label, inbound processing, and a restock before the item can be resold.

A store credit resolution keeps that revenue inside the business and converts it into a future purchase instead of a lost sale. A keep-the-item resolution on a low-value return skips the reverse logistics altogether, since the cost of shipping the item back and restocking it can exceed the value of the item itself. Partial refunds sit in between, giving the customer some relief without giving up the full order value.

None of these outcomes fit every situation, and a customer with a legitimate defective product complaint should get a straightforward resolution. But when a portion of your January volume is genuinely optional gift returns and impulse-buy regret, having these outcomes available as options, not just full refund as the default, changes the economics of the whole surge.

What breaks without a plan

Picture the operation that skips this planning. Support tickets pile up because every return request needs manual review. Refunds fall behind because the team processing them is the same team trying to get late December orders out the door. Inventory counts go stale because restocking from returns is a manual, batch process instead of an automatic one.

By the time the surge peaks in mid-January, the team is reacting to whatever is loudest instead of working through a predictable process. Customers notice. Response times slip, refund timelines stretch, and the same shoppers who bought during BFCM form their post-purchase opinion of the brand based on how the return went, not how the original order went.

Turning the January surge into a controlled process

This is exactly the gap ShipAid's Smart Returns pillar is built to close. Discounted return labels lower the cost of every single return that comes through the door in January, which matters at volume in a way it never does at a trickle. There is no monthly software fee sitting on top of that, so the cost of the program scales with actual return activity instead of being a fixed line item you pay for in slow months too.

Merchants control the fee structure themselves, which means you decide how return shipping costs get absorbed or passed through, rather than accepting a one-size-fits-all model. And because the resolution options include store credit, partial refunds, and keep-the-item outcomes alongside standard refunds, the January surge stops being a straight cost center and starts being a process you can actually control the economics of.

Set this up now, while you still have room to test and adjust before volume arrives. Build it in October or November, and you are testing under fire. Build it in September, and January becomes a busy week for your team instead of a fire drill.

ShipAid Returns & Exchanges gives your team the infrastructure to handle the January surge with merchant-controlled fees, discounted labels, and revenue-retaining resolutions built in from the start. Set it up now, before BFCM volume starts the clock on what comes back in January.