Articles

The Fashion Industry Tech Revolution: How Startups and Brands are Innovating

Published: 26/06/2026
Author: Fashion Value Chain

Ananya Sharma
Research Associate,
Department of Home Science,
Banasthali Vidyapith

The fashion industry has always been a symbol of creativity and trendsetting. Today, it is undergoing a profound transformation driven by technology. From design and production to marketing and retail, innovations like artificial intelligence, augmented reality, and 3D modelling are creating more personalised, sustainable, and efficient processes. Both global startups and established Indian brands are at the forefront of this change, helping the industry adapt to modern consumer demands.

Technology and the New Fashion Economy

Fashion businesses face constant challenges, including rapid trend cycles, supply chain complexities, high waste, and rising customer expectations for personalisation. Technology addresses these issues directly. Artificial intelligence predicts trends and optimises inventory, while augmented reality enables virtual try-ons. Three-dimensional modelling speeds up prototyping, allowing brands to operate leaner and reach global audiences faster. A key shift is the direct-to-consumer model, where brands bypass traditional retailers to sell directly via apps and websites, cutting costs and gathering real-time data for better decision-making.

Technologies Transforming Fashion

Artificial intelligence analyses vast datasets to forecast trends, personalise recommendations, and streamline inventory. Augmented reality lets customers visualise clothes on themselves using smartphone cameras or smart mirrors, which bridges the gap between online and in-store shopping while reducing returns. Meanwhile, 3D design tools allow for rapid experimentation without the need for physical samples, minimising material waste. Virtual reality creates immersive fashion shows and digital storefronts, allowing luxury labels to reach global audiences remotely. Finally, integrated software systems like enterprise resource planning platforms unify design, production, finance, and customer data to prevent overstock and supply chain bottlenecks.

The development of this ecosystem was sparked by the need to solve the chronic inefficiencies of the garment industry, such as excessive overstock, long lead times, and poor size inclusivity. As digital tools became more accessible, designers began moving away from manual sketching to 3D simulation, while retailers shifted from static storefronts to data-driven, direct-to-consumer platforms. Today, this ecosystem operates as an interconnected network where design software, supply chain management systems, and customer-facing augmented reality tools share real-time data. This systemic integration allows startups to iterate rapidly, test products in virtual environments before physical production, and tailor their offerings to specific user preferences, effectively turning the entire industry into a fast-moving, responsive network.

Fashion Brands Success Stories

Several brands have successfully utilised technology to scale their businesses and change how consumers interact with their products.

Dharpan.ai is transforming retail with AI-powered smart mirrors and virtual trial rooms. Installed in physical stores, these mirrors scan and render clothing on a customer in seconds, allowing shoppers to try on multiple styles and sizes without entering a physical trial room.

Myntra has used technology to democratize fashion access in India. Through the development of the Myntra Mall, a digital shopping environment, the company allows brands to display collections under one roof while curating online experiences for millions of subscribers.

FableStreet utilised data-driven insights from its inception. By measuring hundreds of women to understand body types and shapes specific to the Indian market, the brand integrated this data into its design and sizing processes to ensure a better fit and reduced return rates.

Mayavarta focuses on younger generations by blending physical apparel with digital experiences. They create merchandise with scannable codes that trigger unique digital experiences, bridging the gap between clothing and technology.

Bigthinx uses artificial intelligence and computer vision to digitise the human body. By providing accurate data on body shape and fit, they enable brands to personalise shopping, optimise supply chains, and save costs by reducing the need for physical prototypes.

Nykaa Fashion combines data analytics and digital marketing to strengthen its presence, using technology to personalise the shopping journey for beauty and apparel customers.

Zilingo scaled across Southeast Asia by providing small-scale manufacturers and merchants with the tools to digitise their operations. Their platform allowed local factories to manage procurement and production through a single cloud-based dashboard, digitising an otherwise fragmented and manual manufacturing sector.

Manish Malhotra pioneered India’s first virtual reality fashion show in 2016. By offering a 360-degree viewing experience, his brand made luxury couture accessible to a global audience, beyond the physical attendees of fashion weeks.

Benefits and Challenges

These technologies offer clear advantages, such as faster cycles from design to market, personalised customer experiences, reduced waste, and scalable global reach. However, adoption requires consistent investment in skills and digital infrastructure. While some express concerns about job displacement, technology is actually creating new professional roles in fields like artificial intelligence ethics, virtual merchandising, and sustainable technology management.

The Future of Fashion

Tech-driven startups and innovative brands are not just surviving; they are redefining fashion. By blending artistic creativity with technological innovation, they promise a more inclusive and efficient industry. Those who embrace these digital tools will lead the next era of style, ensuring that the fashion ecosystem remains vibrant, sustainable, and responsive to the needs of every customer.

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