FASHION HAS A TIMING PROBLEM
TFTT MONDAY BRIEFING
What if one of fashion's biggest problems isn't price, product or the customer - but time?
Fashion is built around prediction. Design six months ahead. Buy months ahead. Commit to production months ahead. Move product through increasingly complex supply chains and, eventually, ask the customer to buy it. For decades, that model has broadly worked because the industry could make reasonably reliable assumptions about seasons, weather and consumer behaviour. But those assumptions are becoming harder to make. The customer doesn't necessarily behave six months ahead. And the weather certainly doesn't.
That matters because fashion is one of the few industries where timing can determine whether the exact same product becomes a commercial success or a markdown problem. A coat in October can be essential. The same coat in an unusually warm October can be unwanted stock. The product hasn't changed.
The timing has.
SIGNAL ONE | THE WEATHER IS BREAKING THE CALENDAR
The UK is a useful case study. The recent period of unusually warm weather has once again exposed the tension between the way fashion is planned and the way customers actually shop. A current analysis published this week highlighted retailers dealing with autumn product while summer temperatures were still persisting, using the situation to question whether traditional six-month planning cycles are sufficiently responsive to real-time demand. That is important because weather isn't simply background noise for fashion.
Weather is a demand signal.
When temperatures rise, consumers can change what they want almost immediately. Demand can move towards dresses, shorts, swimwear, sandals, lightweight fabrics and linen, while interest in knitwear, jackets, boots and heavier outerwear can be delayed. The problem is that the fashion industry may already have made many of those decisions. Product may have been designed months earlier. Orders may already have been placed. Manufacturing may already have taken place. Stock may already be sitting in a distribution centre or travelling through the supply chain. Then the weather changes. That creates a fundamental tension:
The industry is planning for the season it expects.
The customer is shopping for the weather they are experiencing.
And the UK makes this particularly visible because weather has always been unpredictable. The issue for retailers is not simply whether it will rain next Saturday. It is whether historical seasonal patterns remain reliable enough to underpin major inventory decisions.
This year's retail data has already shown how closely weather can influence demand. UK retail sales rose unexpectedly in June, with the ONS data reported by Reuters showing consumers spending more on clothing alongside increased spending on air conditioning as warm weather supported demand. That is the other side of the equation.
The weather doesn't simply suppress demand. It can move demand.
The commercial challenge is whether retailers are positioned to capture that demand when it happens. If a heatwave arrives and a retailer has enough summer product, the weather can become a sales opportunity. If the business has already moved heavily into autumn, the same weather can become a problem. That distinction matters. The issue isn't necessarily that retailers have the wrong product. It is that they may have the right product at the wrong time.
WEATHER IS BECOMING AN INVENTORY ISSUE
This is where a weather story becomes a much bigger commercial story. Imagine a retailer has committed heavily to autumn outerwear based on historical demand. The product is good. The price is right. The brand is strong. But October arrives and temperatures remain unusually high. Customers simply don't need the product yet. The retailer now has a choice: hold the stock and hope demand arrives, move it into another channel, reduce the price or accept that some of the inventory may eventually need to be cleared. That is how a timing problem becomes a financial problem.
And fashion inventory has a particular vulnerability because product can become commercially obsolete even when it is physically perfectly good.
The wrong colour.
The wrong silhouette.
The wrong trend.
The wrong weather.
The wrong moment.
Any of them can turn desirable product into unwanted inventory. That is why the question of timing deserves much more attention than it currently receives.
SIGNAL TWO | TIMING HAS A COST
Getting fashion timing wrong doesn't just create a bad season. It can create a very expensive problem.
We saw a current example this week in the US. Dick's Sporting Goods cut its full-year forecasts after a difficult quarter, with Reuters reporting that the company was dealing with bloated inventories, underperforming launches and heavy discounting in its legacy footwear business, alongside weaker sneaker demand. One retailer does not prove a structural change across the entire fashion industry. But the economics are clear. When demand doesn't behave as expected, inventory becomes the bill for the forecast being wrong.
More stock.
More working capital.
More storage.
More markdown risk.
Potentially more discounting.
And ultimately, pressure on margin. This is why the industry's obsession with forecasting needs to be accompanied by another question. Not just:
How accurately can we forecast demand?
But:
How quickly can we respond when the forecast is wrong?
Those are two very different capabilities. The first is about prediction. The second is about organisational design.
THE FORECAST WILL ALWAYS BE WRONG SOMETIMES
There is an understandable temptation to believe that better data will solve this. AI can improve forecasting. Real-time analytics can improve merchandising. Customer data can improve buying decisions. Better demand planning can reduce inventory risk. All of those things matter. But no technology can perfectly predict what a consumer will want six months from now. And no technology can guarantee the weather. The more interesting opportunity may therefore be to build businesses that don't need to be perfectly right six months in advance. That means designing the business to absorb uncertainty rather than assuming uncertainty can be eliminated. It changes the question from:
“How do we predict perfectly?”
to:
“How do we build a business that can respond intelligently when reality changes?”
SIGNAL THREE | THE INDUSTRY IS LOOKING FORWARD WHILE THE CUSTOMER IS SHOPPING NOW
And this brings us to the tension at the heart of the traditional fashion calendar. The industry is always looking ahead. London Fashion Week takes place from 17–21 September, with the industry preparing to focus attention on what comes next. Brands will present new collections. Buyers will assess future product. Editors will identify emerging trends. Retailers will make decisions about future seasons. The machinery of fashion will move forward. And it needs to. Fashion needs lead times. Factories need planning. Suppliers need commitments. Wholesale businesses need buying windows. Designers need time to create.
We are not arguing for eradicating the seasons.
The calendar serves a purpose. But perhaps the problem is that the calendar has become too dominant. While the industry is planning what customers might want next season, customers are making decisions based on what is happening now.
The weather.
Social media.
Culture.
Sport.
Entertainment.
Travel.
Creators.
Unexpected trends.
A product can suddenly become relevant, or irrelevant, much faster than the traditional fashion cycle allows. The customer has become more real-time. The supply chain hasn't necessarily kept up.
SO WHAT DOES THE FUTURE LOOK LIKE?
This is where the conversation needs to move beyond simply saying fashion should become "faster".
Faster isn't automatically better.
If responsiveness simply means producing more product, more frequently, and pushing more stock into the market, we haven't necessarily solved the problem. We may have made it worse. More product can mean more waste. More air freight. More pressure on suppliers. More markdowns. More resources consumed. So the opportunity isn't simply responsiveness. It is responsible responsiveness.
That could mean smaller commitments, allowing businesses to reduce the amount of inventory they commit before demand is known. It could mean more frequent, smaller drops rather than relying entirely on large seasonal bets. It could mean faster replenishment of products that are demonstrably working, rather than trying to predict every winner months in advance. It could mean better use of real-time data to understand what customers are actually doing. And it could mean more flexible supply chains that allow businesses to respond without simply resorting to costly and environmentally damaging emergency production or transport.
This is where AI could become genuinely useful. Not because AI can tell us exactly what a customer will buy six months from now. But because it could help businesses recognise changes in demand earlier, connect more signals and make better decisions about what to commit to, replenish, accelerate or stop. The objective should not be more speed for the sake of speed. It should be better decisions, made closer to the moment of demand, with less unnecessary inventory and waste. However, that is no easy task.
THE FUTURE ISN'T ABOUT ERADICATING THE SEASONS
Fashion isn't going to stop having seasons. Nor should it necessarily want to. The opportunity is to make the business much better at operating between them.
So perhaps the future isn't:
ERADICATING THE SEASONS.
It's:
SEASONS + AGILITY + RESPONSIBILITY.
There are already businesses that offer clues as to what this could look like. Inditex is an interesting example because responsiveness is embedded in its operating model. The group describes its approach around adapting its fashion proposition to customer preferences, supported by technology, stores, online platforms and its integrated operating infrastructure. The important point isn't simply that Zara moves quickly. It is how the business is designed to respond.
The model is intended to allow product decisions to be informed by what customers are actually doing, rather than relying entirely on one large seasonal prediction made months in advance. That doesn't remove the need for forecasting, but it can reduce the degree to which the business has to get every decision right before the customer has spoken.
And that is an important distinction.
Responsiveness isn't the same as simply making fashion faster.
Because speed without responsibility can simply create faster waste.
This is where Inditex becomes particularly relevant to the argument. The group is also reporting measurable progress against environmental targets alongside its operating model. In 2025, Inditex reported that 88% of the fibres used in its products qualified as lower-impact fibres, with 47% of total fibres coming from recycled materials. It also reported a 26% reduction in relative water consumption. The group also reported an 11% reduction in total emissions against its 2018 baseline for the emissions categories covered by its science-based targets.
Those numbers do not make Inditex a perfect model for responsible fashion. Nor do they prove that a more agile operating model is automatically more sustainable. They do, however, demonstrate something important.
Responsiveness and responsibility can be designed into the same business model.
The lesson for the wider industry isn't “be more like Zara.”
It is:
Build enough flexibility into the business that you don't have to be right six months in advance — and make sure that flexibility doesn't simply create more product, more waste or more pressure on the supply chain.
That changes the definition of agility. It isn't simply speed. It is the ability to make better decisions, with better information, later in the process, while still having enough flexibility in the business to act responsibly. And this is where the opportunity becomes much bigger than seasonal fashion. A more responsive business could potentially reduce the size of its initial inventory bets, respond to proven demand, replenish what is working, reduce exposure to unnecessary markdowns and avoid committing resources to product that customers ultimately don't want. The commercial and environmental objectives are not necessarily opposites. In some cases, better commercial responsiveness could actually support better resource efficiency.
But that is only true if the industry uses agility to make better decisions, rather than simply using it as an excuse to make more product. The winners may not necessarily be the businesses that predict the future best. They may be the businesses that can change fastest when the future doesn't go to plan, without creating a new set of problems by doing so. And that could become one of the defining competitive advantages of the next generation of fashion businesses.
THE INSIDERS' VIEW
So perhaps the real question isn't:
“Is the fashion calendar dead?”
It isn't.
The more interesting question is:
Is the traditional fashion calendar flexible enough for the customer, climate and commercial environment we have today?
Because the industry has spent decades getting better at predicting the future. The next competitive advantage may be getting better at responding to it. But the real test will be whether fashion can become more responsive without becoming more wasteful. Has fashion got a timing problem, and could responsible agility become the next competitive advantage?
WHAT WE'LL BE WATCHING THIS WEEK
As we move towards September, we'll be watching the signals.
Are retailers changing their approach to inventory? Are brands becoming more flexible in how they introduce product? Are businesses using data and AI to respond rather than simply forecast? Is the weather changing what consumers actually buy?
And, perhaps most importantly, are the businesses becoming more responsive doing it in a way that is commercially sustainable, operationally realistic and environmentally responsible?
Because if the future of fashion is more agile, the next question is what responsible agility actually looks like.
