In an exclusive interaction with Republic News India, Amar Nagaram, Co Founder and CEO of Virgio, shares how the brand is harnessing artificial intelligence, predictive analytics and circular design principles to reshape fashion retail driving faster trend cycles, minimizing waste, and building a customer first, sustainable fashion tech ecosystem from India to the global stage.
1. How is Virgio leveraging AI to redefine the future of fashion retail?
Virgio has embedded AI across design, trend forecasting and operations to shorten the trend-to-shelf cycle and reduce waste. The company uses data-driven trend detection and “trend-to-factory” systems so designers and product teams can validate concepts with real customer signals before scaling production enabling faster launches with lower risk compared with traditional seasonal cycles. That vertical, tech-first approach (design testing → automated sourcing → inventory intelligence) is central to Virgio’s repositioning as a fashion-tech brand that pairs trend agility with sustainability.
2. In what ways does predictive AI enhance demand forecasting and retail agility at Virgio?
Ans. Predictive AI at Virgio ingests sales telemetry, social trend signals and customer behavior to create short-horizon demand forecasts that steer micro-batches and replenishment. This allows the brand to keep inventories lean, plan smaller production runs that match real demand patterns, and respond quickly when a design gains traction improving sell-through and minimizing markdowns. By tying forecasting directly into manufacturing and inventory workflows, Virgio increases retail agility and reduces the traditional lead-time mismatch between customer demand and supply.
3. How is Virgio using technology to minimize waste and improve supply-chain efficiency?
Virgio’s pivot toward circular and sustainable fashion is supported by technology that enforces zero-waste principles: digital tagging (QR codes with product footprints), on-demand production triggers from AI forecasts, and tighter factory integration that avoids large upfront runs. These measures reduce overproduction and lower returns and markdowns; combined with use of natural/recyclable materials and circular initiatives, they move Virgio away from fast-fashion overstock economics toward a more resource-efficient model.
4. What makes Virgio’s customer-first, data-driven retail model stand out in today’s fashion industry?
Virgio blends fast consumer feedback loops with sustainability commitments using real customer signals to decide what to make rather than forecasting purely by intuition. The result is a D2C model that prioritizes conversion and fit with target cohorts (Gen Z / millennials) while maintaining transparency on materials and environmental impact (product footprints, vegan certification). That customer-first stance, combined with in-house tech systems for design testing and inventory control, differentiates Virgio from legacy brands that still operate on long seasonal cycles.
5. How has Virgio’s adaptive retail approach resonated with Gen Z and millennial consumers?
Younger shoppers gravitate toward brands that move fast on trends, show authenticity, and demonstrate environmental responsibility. Virgio’s rapid trend launches, visible sustainability credentials (including PETA recognition and vegan materials), and social-forward communications align with Gen Z and millennial values translating into strong engagement on digital channels and traction in D2C and experiential retail. The brand’s efforts to combine trend relevance with transparent eco-claims have made its positioning compelling to those cohorts.
6. What is Virgio’s vision for expanding from an Indian startup to a global fashion-tech disruptor?
Virgio’s roadmap pairs measured offline expansion and retail partnerships with continued investment in technology and international marketing. Practically, that has meant opening flagship sustainable stores in India, partnering for mall presence, and planning capital deployment for further retail footprinting while scaling AI and manufacturing systems that can be replicated in new markets. The strategy is to export its tech-enabled circular model (trend validation + on-demand production + sustainability transparency) so the playbook can scale beyond India and compete as a global fashion-tech disruptor.
