Christmas is peak revenue and peak returns, back to back. The real pressure doesn't hit on December 25th, it hits the week after, and keeps building through the end of January, as gifts get unwrapped, tried on, and sent back. Every year, brands throw the same two things at this problem: temporary staff and FAQ pages.

In 2026, there's a third option that actually changes the math, an AI agent that can resolve a return, not just explain your policy on one. Here's how to prepare, with and without it.

1. Plan to capture the surge, not just survive it

A return isn't automatically a lost sale. Wrong size, gift that missed the mark, impulse mismatch, most post-Christmas returns have a fix that isn't a refund: an exchange, a different size, store credit toward something they'll actually keep. Handled well, this is one of the highest-intent moments you'll get with a customer all year, since they're already engaged with your brand two days after opening the box. Handled badly, a slow refund, a confusing process, it's often the last purchase they make from you.

An agentic AI can act on this in real time: reading why someone's returning a gift and offering the exchange or size swap on the spot, instead of defaulting to a refund because that's the easiest button to click.

2. Stop automating answers. Start automating resolutions.

The old playbook was FAQs and chatbots to deflect the "what's your return policy" question. That was never really the bottleneck, answering the question was always easy; acting on it was the part that needed a human, a ticket, and a few days.

An agentic AI closes that gap: it checks the order, confirms eligibility, approves the exchange or issues the gift card, right there in the conversation, during the exact week your support queue is most overwhelmed.

3. Make gift returns effortless, even without a receipt

Gift returns are their own category of friction: the person standing in front of your return form usually isn't the person who placed the order, and they rarely have a receipt. An AI agent tied into order history can match a return to the original purchase from the information the giftee does have, and resolve the exchange or store credit directly — no hunting down whoever bought it, no manual lookup from your team.

4. Staff for escalations, not for volume

Seasonal hiring has always been the default answer to "how do we handle the spike." But the spike itself, order status questions, straightforward eligible returns, standard exchanges, is exactly what an AI agent can absorb under rules you set.

That frees your actual team to focus on what still needs a human: the upset VIP, the edge case, the judgment call. It's the one lever that changes your headcount planning for next Christmas, not just this week's workload.

5. Extend your return window without extending your backlog

Many brands push return windows to the end of January to ease the post-Christmas crunch, then hesitate, because a longer window usually just means a longer backlog.

That tradeoff only exists if volume has to wait for a human. An AI agent processes returns as they arrive, regardless of how many land at once, which turns a longer window from an operational risk into a straightforward loyalty perk.

For a deeper look at return-window policy and fee strategy specifically, see our guide to reducing returns during Black Friday and the holiday season.

This is the first Christmas season where "automate the surge" means more than FAQs and a seasonal hire.

yayloh.ai is the AI agent built on the same infrastructure already handling returns, exchanges, and refunds for hundreds of brands, get early access before the season hits.