Amazon Fashion Bets on AI to Transform How Indians Shop for Style and Beauty

India’s fashion and beauty e-commerce sector is undergoing a rapid transformation, driven by rising digital adoption, expanding consumer markets, and the integration of artificial intelligence into the shopping experience. With the country’s online retail ecosystem projected to grow significantly over the coming years, fashion remains the dominant category, while beauty and personal care continue to register strong double-digit growth.

At the centre of this shift is Amazon Fashion and Beauty, which is increasingly leveraging AI to reshape how consumers discover and engage with products online. According to Romita Bhandary, Creative Head of Fashion and Beauty at Amazon India, artificial intelligence is fundamentally changing how shoppers navigate style, moving from traditional search-based browsing to more intuitive, personalised discovery.

In a recent conversation, Bhandary highlighted how AI is enabling a deeper understanding of consumer intent, allowing platforms to interpret moods, aesthetics, and lifestyle cues rather than relying solely on keyword-based searches. This shift, she noted, is making fashion discovery more visual, contextual, and aligned with individual preferences.

India’s fashion landscape itself is evolving rapidly. Consumers are no longer strictly trend-driven; instead, they are increasingly curating personal styles by blending global influences with local expression. This includes mixing luxury with streetwear, pairing traditional silhouettes with modern styling, and embracing a more fluid approach to fashion identity.

Bhandary emphasised that today’s shoppers are highly visually aware and culturally engaged, often discovering trends through social media, creators, and digital subcultures. This has led to a more immersive and emotionally driven shopping experience, where inspiration and purchase decisions are closely connected.

Amazon’s approach, she explained, focuses on reflecting this diversity by curating across regions, price points, and style preferences without losing aspirational appeal. Rather than viewing aspiration as exclusivity, the platform aims to build emotional relevance by making customers feel represented across categories—from everyday essentials to premium fashion and beauty.

Creators also play a central role in this evolving ecosystem. Their influence has made fashion discovery more immediate and conversational, bridging the gap between inspiration and purchase. This shift has encouraged platforms to integrate creator-led content more directly into shopping journeys.

AI further enhances this ecosystem by enabling hyper-personalised recommendations, virtual try-ons, predictive logistics, and conversational interfaces. These tools collectively aim to reduce friction in the shopping experience while making discovery more intuitive and engaging.

Bhandary noted that the intersection of global trends and local adaptation is particularly important in India. While consumers are globally aware, they continue to prefer styles that reflect their personal and cultural context. As a result, international trends are increasingly being reinterpreted for local relevance.

Looking ahead, she believes fashion and beauty discovery will become even more instinctive and mood-driven, with users shopping based on aesthetics, inspiration, and emotional cues rather than structured categories. However, she also emphasised that human creativity and editorial curation will remain essential in balancing technology with cultural storytelling.

As AI continues to evolve within the retail sector, Amazon Fashion’s strategy reflects a broader shift in India’s digital economy—where technology is not just enabling commerce, but reshaping how style itself is discovered, interpreted, and experienced.