AI-native brands to redefine fashion, retail e-commerce ecosystem in India
What if the clothes you wear were interpreted and designed by AI, then refined by human expertise? That question is no longer hypothetical. The future of fashion and retail ecommerce is likely to be shaped by AI-native brands.
Generative AI has moved beyond the experimental stage and is entering mainstream adoption. It is transforming the ecommerce ecosystem by accelerating operations, producing assets internally, and aiding brands in finding their customers through codes and algorithms. It is now reshaping how brands operate, communicate, and compete, particularly across fashion and retail online.
Marketability, reach, and consumer experience have always been the currency of success for digital-first brands. However, products and services remain of paramount importance. Brands are consistently using AI to strengthen operations and manufacture assets internally. With regard to customers, AI augmentation remains their first choice; however, brands founded with native-AI integration built in from the start are the real differentiators. Established brands are trying to incorporate artificial intelligence into their various functions. However, AI augmentation is still evolving within enterprise brands. The real dialogue will occur when AI and the consumer interact on all fronts.
In the current scenario, AI adoption has been user-specific. AI companies see this gap and are addressing it by defining use cases, leveraging thinking systems, and providing customer intelligence to enterprise ecommerce companies. AI companies are deploying their Forward Deployed Engineers to work with enterprise companies. FDEs are specialists who move across a brand’s disconnected areas and consolidate the unique outputs gathered from different segments within a company. They are relentlessly dedicating their expertise to extracting key takeaways from these functions and curating unique solutions that benefit companies in ways they’ve never seen before.
While agentic AI integration is a major theme in fashion and retail ecommerce, new-age brands have the upper edge in being founded around AI-native principles from scratch. The demographic dividend is aware, indulgent, and efficient at identifying uniqueness among cluttered brand voices. Tech integration has prompted brands to think economically and adapt faster. Agentic AI is helping brands with discovery. It is focused on solving problems and having more conversations with consumers. Ecommerce companies are seeing growth as well as resistance from customers due to privacy concerns.
AI is no longer belongs a technology of the future; it is already transforming businesses today. Analytical AI lays the foundation and delivers measurable value for business blueprints and operating models, driving better product availability. We have already seen how generative AI has led brands to think differently to innovate content, engage, and communicate. Agentic AI is emerging as the next step, where systems can make independent decisions. The most nascent and novel use case is when we combine all of these and build a brand within a native-AI environment.
AI-native ecommerce works beyond segregated functions and prevails upon workflows. It supports the steps within functions and reduces isolated processes. It builds context within the system by creating depth. The interconnection across departments builds a value chain system with a unified goal. The memory layer created by AI-built ecommerce helps in
evolution, step after step, campaign after campaign. It forecasts and improves with the inputs gained through earlier tasks. It helps in quicker and better decision-making, making it easier and more detailed for leadership with logical viewpoints. The cognitive behaviour of tech integration helps in scaling brands through operating systems and metrics.
The Bear House, a fashion ecommerce brand, defines this well, as the founders knew where the global competitiveness in garment manufacturing lay when it came to quality control. They had the insight of experts and put it to best use in their core activities, making clearer decisions by incorporating analytics, expertise, and operating systems. This integration of business acumen enabled the brand to adopt an AI-rooted approach with a clear, well-defined objective: scalability. This is an imperative procedure before a campaign reaches the market, as product quality, fabric, fit, and inventory mix are defining steps for any channel execution. It applies to ecommerce too, and demonstrates that business can be executed quickly, efficiently, and scalably.
Unlike the US and UK, Indian enterprise brands still have a long way to go to become completely AI-native, whereas many new-age startups are forging ahead. Brands like Sarvh, Woreto, and mycrux are a few names that are AI-first and are spearheading the fashion and retail segments across marketplace, tech, and ecommerce. India is seeing a large influx of AI infrastructure. New-age startups are going to define the next phase of the retail and fashion ecommerce ecosystem.
(The author is a brand marketing professional and communication expert. She serves as Visiting Faculty at the National Institute of Fashion Technology and writes on fashion & retail, lifestyle and culture)