GUEST COMMENT Back-to-school demand doesn’t end on the first day of term

1 Sep 2026
Image © Adobe Stock

Ed Bradley, chief growth officer, Virtualstock powered by Logicbroker, explores the changing role of fulfilment in meeting AI-driven expectations and their impact on demand spikes.

Parents are shopping earlier this year. Research from OnePulse shows 40% of UK parents buy back-to-school items one to two months before term starts, with a further quarter starting even earlier. For a large share of the market, planning was well underway before the summer holidays.

Talking to retailers, I keep hearing the same thing: the traditional back-to-school rush still creates a clear peak in demand, but buying now stretches over a much longer period around it. If you layer on the fact that uniforms wear out, children grow and stationery needs topping up all year round, back-to-school stops looking like a defined window retailers can plan a single campaign around. It’s more like a slow drip of demand which picks up whenever a pen runs out of ink or a growth spurt hits.

A calculated shopper, not a cautious one

Parents browse online, check availability in store and buy across multiple retailers throughout the year. They are still spending, of course, but they’re choosing where that money goes with more care than ever before. More than a third of UK parents say they’re most drawn to low prices on basic items, and a third specifically want school uniform to be affordable for every family. 

That focus on value is about to coincide with a little more spending power. From September, government reforms, including capped branded uniform costs and expanded free breakfast clubs, will save eligible UK families up to £1,000 a year on school costs. It’s an uplift retailers should be ready to capture, but it won’t behave like a windfall landing in a single week. Spending will be spread across the months, and parents will be watching for value at every stage.

Extending range without extending risk

This is where dropship and marketplace models earn their place. Retailers don’t need to commit warehouse space and cash to every uniform size, colour and price point months ahead of a demand curve that keeps shifting. They can extend their offer through approved suppliers that hold that stock themselves while keeping the experience consistent, whether a parent is browsing on a phone or walking a store aisle.

Done well, this turns range expansion from a cost burden into a commercial lever. A retailer can offer a budget uniform pack alongside a premium one, or a popular blazer size alongside a harder-to-source option, without being left with excess stock if a category doesn’t move exactly as expected. With parents hunting for the lowest price on basics, this flexibility helps retailers compete on value without gambling on exactly when that shopper turns up.

AI is making trust measurable

All this is even more important now that commerce is AI-driven. Online shopping today starts with a single question. A parent might ask an AI assistant to find school shoes in a specific size, under a set budget, and that can arrive before Friday. In that moment, the AI agent decides which retailers are even worth considering before the parent sees a single product.

Fulfilment, once a back-office concern, is a key part of that decision. LLMs rely on structured signals, inventory accuracy, fulfilment speed and service terms to decide what’s safe to suggest. To be recommended in a shortlist, the agent needs confidence that the retailer has the product available and it will arrive when promised. There is no room for fragmented systems or unreliable data behind the scenes. If those signals are unclear, an AI agent will simply prioritise a retailer that offers more certainty.That means maintaining current stock information, coordinating suppliers in real time and ensuring fulfilment expectations match actual capacity are essential for retailers to be surfaced in the agentic world.

Back-to-school no longer runs on a single retail calendar. Parents are shopping earlier, replenishing later and using AI to compare value at every stop in between. Retailers that can extend their range without carrying the risk, while backing it up with reliable stock, will be able to maximise demand spikes whenever they may come.

Image © Virtualstock powered by Logicbroker

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