VIRGIO Expands Made-On-Demand Fashion Model with AI-Led Demand-Driven Production

Fashion-tech company focuses on real-time consumer demand, AI insights and integrated manufacturing to reduce inventory risk

VIRGIO is adopting a Made-On-Demand (MOD) model that prioritises consumer demand over conventional inventory forecasting. According to the company, the approach is intended to address long-standing industry challenges related to overproduction, excess inventory and demand uncertainty.

The fashion industry has traditionally relied on forecasting consumer demand months before production, often requiring substantial inventory commitments before actual demand is known. VIRGIO's MOD model is designed to test new styles in limited quantities, monitor consumer response in real time and increase production only after demand has been validated.

The company states that forecasting consumer demand has become increasingly challenging as trends evolve rapidly across digital and social media platforms. Its operating model is based on responding to changing consumer preferences through continuous analysis rather than relying solely on long-term forecasts.

At the centre of the model is VIRGIO's proprietary technology ecosystem, which tracks emerging fashion trends, monitors consumer preferences and supports decision-making across design, merchandising and manufacturing. The company says this integrated approach enables products to move from concept to market more quickly while reducing inventory risk.

The AI-led technology platform continuously analyses consumer behaviour, demand signals and fashion trends across digital channels. These insights are used to support teams in identifying emerging opportunities and making informed decisions throughout the product development process. VIRGIO combines artificial intelligence with human-led design to build what it describes as a demand-responsive fashion ecosystem.

Rather than focusing on inventory accumulation, the company says its demand-led model is intended to improve operational agility, product responsiveness and assortment planning. Consumer response to each product launch is incorporated into future production decisions through an ongoing feedback process.

According to VIRGIO, the approach enables consumers to access new styles throughout the year instead of relying on traditional seasonal collections. The company says this allows it to respond more quickly to changing trends while refining its product assortment based on customer demand.

The operating model is supported by an integrated manufacturing ecosystem that aligns production capacity with real-time demand patterns. VIRGIO states that integrating technology, sourcing and manufacturing into a single operating framework helps improve supply chain responsiveness.

The company also says producing garments only after demand has been validated helps reduce excess inventory, minimise markdown dependence and lower the risk of unsold stock. As concerns about waste and overproduction continue to influence the fashion industry, VIRGIO says its demand-led manufacturing model is designed to support a more efficient supply chain.

Amar Nagaram, Co-Founder & CEO, VIRGIO

Amar Nagaram, Co-Founder & CEO, VIRGIO, said:

"Fashion has traditionally been built around predicting what consumers might want months in advance. We believe the future belongs to brands that can learn directly from consumers and respond in real time. At VIRGIO, made-on-demand is the foundation of how we operate. Every style generates learning, every demand signal informs production, and every decision helps build a more intelligent fashion ecosystem. Our ambition is to build the world's largest on-demand fashion brand by 2030 by fundamentally changing how fashion is designed, manufactured, and scaled."

"The future of fashion won't be defined by who can produce the most inventory. It will be defined by who can understand consumers the fastest and build products they genuinely want."

VIRGIO states that its AI-led technology platform, integrated manufacturing ecosystem and demand-first operating model are intended to support a more responsive production process as consumer preferences continue to evolve.