VIRGIO stitches AI and on-demand production into fashion growth strategy

BENGALURU: In fashion, getting the fit right is everything. For VIRGIO, that principle extends beyond clothing and into how the business itself is built. The Bengaluru-based fashion-tech company is betting that the future of apparel will not be driven by warehouses packed with unsold inventory, but by producing garments only after consumers show genuine interest. Through its Made-On-Demand (MOD) model, VIRGIO is positioning itself as a challenger to traditional fashion production methods and has set an ambitious target of becoming the world’s largest on-demand fashion brand by 2030.

The company’s strategy comes at a time when the global fashion industry faces growing pressure over overproduction, excess stock and shrinking trend cycles. For decades, fashion brands have relied on forecasting consumer preferences months ahead of time, often investing heavily in inventory before demand becomes clear. The result has frequently been markdowns, waste and unsold products.

VIRGIO believes the industry’s real challenge lies not in manufacturing garments, but in accurately predicting what consumers will want to buy.

Leading the company’s push is Amar Nagaram, who is building an AI-led operating model designed to align production more closely with real-time demand. Rather than launching large collections based on forecasts, VIRGIO tests styles in small batches, analyses customer response and scales production only when demand is validated.

At the centre of this approach is the company’s proprietary technology ecosystem, which tracks emerging fashion trends, monitors consumer behaviour and generates insights that inform decisions across design, merchandising and manufacturing. By combining artificial intelligence with human creativity, VIRGIO aims to shorten the distance between identifying a trend and delivering a product to consumers.

The model creates a continuous feedback loop. Every product launch generates fresh data, helping teams understand what resonates with shoppers and informing future production decisions. Instead of building inventory first and searching for customers later, the company seeks to let customer demand dictate what gets produced.

For consumers, the approach promises a more dynamic shopping experience. Rather than waiting for seasonal collections, shoppers gain access to a constantly evolving range of styles that can be refreshed throughout the year based on changing tastes and trends.

The strategy also has broader implications for supply chains. VIRGIO says its integrated manufacturing ecosystem allows production capacity to be adjusted according to real-time demand patterns, helping reduce inventory risk and improve operational efficiency. As sustainability concerns continue to gain prominence across the fashion industry, reducing unsold stock has become an increasingly important business objective.

Commenting on the company’s vision, VIRGIO co-founder and chief executive officer Amar Nagaram said fashion has traditionally been built around predicting consumer preferences months in advance, but the future belongs to brands that can learn directly from consumers and respond in real time. He said every style launched by the company generates valuable insights that help create a smarter and more responsive fashion ecosystem.

Nagaram added that the next phase of fashion will not be determined by who can manufacture the most inventory, but by who can understand consumer preferences the fastest and build products that customers genuinely want.

As trend cycles accelerate and consumer tastes evolve at unprecedented speed, fashion brands are increasingly searching for ways to become more agile. VIRGIO’s wager is that data, artificial intelligence and demand-led manufacturing can replace guesswork with precision. Whether that vision reshapes the industry remains to be seen, but the company is clearly betting that the future of fashion will be sewn to demand rather than stitched to forecasts.