What the solar eclipse revealed about retailers’ readiness for demand spikes

By Dirk Hoerig, Founder and Chief Innovation Officer at commercetools

When the solar eclipse passed over the UK, it swung a spotlight on the operational readiness of retailers.

The eclipse wasn’t exactly a surprise. Retailers knew months in advance what was coming and could anticipate a predictable surge in demand for eclipse glasses and related merchandise. Yet even with that early warning, many struggled to get stock into customers’ hands when they needed it. Shelves cleared out, websites buckled under traffic spikes and last-minute shoppers left stores empty-handed.

If a demand spike we could see coming months in advance still caught retailers out, what does that tell us about the ones we can’t predict?

A viral TikTok trend, a celebrity moment or a sudden cultural flashpoint can send demand soaring in minutes. The next total solar eclipse won’t hit UK skies again until 2090, but retailers won’t have to wait that long for the next surge in customer demand.

The eclipse’s real lesson is about operating in real time. Retail has spent decades getting better at predicting demand. AI creates the opportunity to get better at responding to it.

The problem isn’t necessarily that retailers fail to see demand changing. It’s what happens next. A retailer might spot a product suddenly selling faster in one store, while stock remains sitting elsewhere in the network. By the time teams identify the pattern, decide how to respond and move inventory accordingly, the opportunity may already have passed.

This is what I’d call the reactivity gap: the distance between knowing that demand is shifting and being able to do something about it. Closing that gap means moving from demand forecasting to demand readiness.

Demand readiness means building systems that can sense a shift as it happens and instantly act on it within the parameters the business has already set, from adjusting pricing, reallocating inventory, triggering fulfilment and reshaping promotions. There’s no need to move through a manual process of waiting for a team to realise, diagnose and step in.

This is where autonomous commerce becomes practical rather than theoretical. Autonomous systems can interpret demand signals and act across pricing, inventory and fulfilment within defined guardrails. The team’s role shifts from responding manually to every change towards setting the strategy and boundaries within which the system operates.

None of these decisions happen in isolation. If demand for a product suddenly jumps, cutting a promotion, changing its price or shifting inventory each has consequences elsewhere in the business. Reacting at machine speed only works if those systems are acting on the same real-time information and towards the same business objectives.

That doesn’t make forecasting obsolete. Retailers still need to plan for seasonal peaks, promotions and known events. But forecasts are predictions, and the moment reality diverges from the plan, the ability to respond becomes just as important as the accuracy of the forecast itself.

The eclipse might have been a rare test case. But retailers face less predictable versions of the same challenge throughout the year, from Black Friday surges to viral moments.

The next retail surge could begin with a celebrity appearance or an event. The businesses best equipped for it won’t be the ones that predicted it. The winners will be the ones capable of responding while everyone else is still working out what happened.

Image courtesy of Unsplash. Photo credit: Jongsun Lee.