By Amar, CEO & Co-Founder, VIRGIO
Fashion has always loved the future. Every season, the industry tries to predict what people will wear next: which colour will dominate summer, which silhouette will return, which city will set the mood.
And yet fashion keeps getting one thing wrong at scale: demand.
The industry does not just forecast trends. It forecasts production. It decides, months in advance, how many pieces of a style should exist before even one customer has chosen it. That is where the blind spot begins. The model has run on a simple assumption for decades: produce first, sell later. Brands study past sales, trend reports, buying calendars, social signals, and gut instinct, then place large production bets. Some work. Many do not.
When the forecast is right, the system looks efficient. When it is wrong, the cost is enormous, and it does not sit on a spreadsheet. It becomes fabric, trims, labour, packaging, freight, storage, markdowns, and eventually, waste.
The pace problem
Fashion now moves faster than traditional planning cycles can support. A style can go viral overnight. A colour can spike because of a film, a reel, or a single celebrity moment. Just as quickly, attention moves on.
India makes the problem sharper. We are not a single fashion market. We are many markets moving at once, across cities, body types, climates, occasions, and price points. A product that works in Bengaluru behaves differently in Surat, Mumbai, Delhi, or Jaipur. A trend that takes off online may not convert offline. A rigid, forecasting-led system forces brands to simplify demand before demand has even revealed itself.
The cost upstream
The conversation around overproduction usually ends at the brand’s warehouse. It should not. Every wrong forecast ripples backwards through the textile value chain.
Mills commit yarn against orders that get cut. Dye houses run lots for colours that never reach full production. Fabric suppliers absorb cancellations or sit on greige inventory waiting for revised allocations. Garment manufacturers are pushed into large MOQs to make unit economics work, then asked to absorb the risk when sell-through underperforms.
The result is working capital locked across the chain, not only at the brand. Capacity is committed to styles that may never need it. Smaller, more agile manufacturers, often the most innovative players in Indian textiles, struggle to win business because the forecasting model rewards volume over responsiveness. Overproduction is not just a brand problem. It is a value chain problem.
From prediction to participation
The answer is not to stop forecasting. Forecasting still has value. It tells us direction. It surfaces emerging consumer shifts. It helps design and supply teams build the right pipelines. But forecasting was never meant to carry the full burden of production certainty. The problem starts when a prediction becomes a commitment to manufacture at scale.
This is the thinking behind Made On Demand, the model VIRGIO is built around. We design continuously, but we produce only after an order is placed. Every garment exists because someone chose it. There is no need to stockpile inventory against assumptions. No need to manufacture thousands of units and hope demand catches up. No excess waiting to be discounted, dumped, or destroyed.
Forecasting becomes an input, not the final decision. It shapes what we design, which trends we interpret, which gaps we solve. Production is triggered by actual demand, not projected demand.
In the traditional model, a brand asks: How much do we think people will buy? In a demand-led model, the brand asks: What are people choosing right now?
One is a bet. The other is a response.
What this asks of the value chain
A demand-led model cannot be executed by brands alone. It requires the value chain to evolve with it.
Mills need to support smaller, more frequent fabric runs without punishing the economics. Dye houses need shorter lead times and more flexible lot sizes. Garment manufacturers need to organise lines around variability rather than volume, with smaller batches, faster changeovers, and digital integration with brand systems so demand signals reach the floor in hours, not weeks. Sourcing teams need to think in continuous flow, not seasonal drops.
India is uniquely positioned for this shift. Our vertical integration, proximity between fabric and garmenting clusters, and growing digital sampling capability give us an advantage global supply chains cannot easily match. The manufacturers that build small-batch responsiveness now will own the next decade.
A business conversation, not only a sustainability one
Overproduction is bad business before it is bad for the planet. It locks working capital. It pushes brands into chronic discounting. It erodes full-price sell-through. It forces teams to spend energy clearing the past instead of building the future.
A demand-led model makes fashion companies lighter, sharper, and more consumer-connected. It allows brands to offer more variety while producing more intentionally. It aligns creativity with commercial discipline. And it lets manufacturers move up the value curve, from volume executors to responsiveness partners.
Closing the gap
For too long, fashion innovation has focused on the front end: better marketing, faster content, sharper trendspotting. The back end has not transformed at the same pace. The next big shift will not only be about what we sell. It will be about how we decide what deserves to be made.
Forecasting will continue to matter, but it cannot remain the foundation of overproduction. The future belongs to brands and manufacturers that combine trend intelligence with demand intelligence, those that move fast without flooding the market, offer style without waste, and understand that relevance is no longer created by producing more, but by producing only what is truly wanted. Teams need to think in systems, not seasons.
Fashion’s biggest blind spot has always been the gap between what brands think consumers will want and what consumers actually choose. Closing it is the work of the entire value chain. The most responsible garment is not the one sitting unsold in a warehouse. It is the one made because someone asked for it.
