ET Startup Awards 2025: Myntra must become 'AI-first' to win India's 400 million GenZ consumers, says CEO Nandita Sinha
Myntra chief executive Nandita Sinha said the 400 million GenZ consumers are disrupting the fashion segment for the company and that the ecommerce platform is prepping for an artificial intelligence (AI)-led shopping experience to build for the 13-28 age group.
“We are building for the Gen-Z consumer — content first, trend first, digital natives, technology-immersive consumer experience,” she said at the ET Startup Awards 2025 on Friday, adding that AI is making this shift possible.

“AI is making all of the disruption that we thought we had to do possible.” She was speaking on a panel alongside Rapido cofounder Aravind Sanka and Urban Company CEO Abhiraj Singh Bhal.
Sinha said the company is building personalisation models for “micro consumer groups” within Gen Z, developing an AI-led trend ecosystem, and redesigning the entire shopping journey to be more dynamic and content-led.
“How do we transform our shopping experience, which is truly content-led and AI-powered, is where I think we will go,” she said.
The CEO of Walmart-owned fashion ecommerce company stressed that this is not just a product capability shift but a cultural one. “We need to think of ourselves not as an AI-enabled but an AI-first organisation.”
Last year in August, Myntra appointed Amit Mahajan as vice president of Fwd, its fashion discovery portal for Gen Z consumers. In 2023, Myntra launched Fwd in the Myntra mobile application to build an immersive shopping experience for Gen-Zs, the CEO had told ET earlier.
By the end of last year, Myntra had launched M-Now, an ultra-fast delivery service, which is currently live in Bengaluru, Mumbai, and Delhi, with pilots in other cities. The company said daily orders through M-Now doubled in the last quarter.
However, Sinha was optimistic about the company’s ecommerce business.
“If you look at how ecommerce has been over the last few years in the country, the scale that ecommerce has achieved, the opportunity is really big,” the CEO said, pointing to the $120-billion fashion market now being reshaped by a new generation of shoppers.
Also Read: Quick fashion delivery startups lean on AI, try-and-buy to cut costly returns
“We are building for the Gen-Z consumer — content first, trend first, digital natives, technology-immersive consumer experience,” she said at the ET Startup Awards 2025 on Friday, adding that AI is making this shift possible.
“AI is making all of the disruption that we thought we had to do possible.” She was speaking on a panel alongside Rapido cofounder Aravind Sanka and Urban Company CEO Abhiraj Singh Bhal.
Sinha said the company is building personalisation models for “micro consumer groups” within Gen Z, developing an AI-led trend ecosystem, and redesigning the entire shopping journey to be more dynamic and content-led.
“How do we transform our shopping experience, which is truly content-led and AI-powered, is where I think we will go,” she said.
The CEO of Walmart-owned fashion ecommerce company stressed that this is not just a product capability shift but a cultural one. “We need to think of ourselves not as an AI-enabled but an AI-first organisation.”
Last year in August, Myntra appointed Amit Mahajan as vice president of Fwd, its fashion discovery portal for Gen Z consumers. In 2023, Myntra launched Fwd in the Myntra mobile application to build an immersive shopping experience for Gen-Zs, the CEO had told ET earlier.
By the end of last year, Myntra had launched M-Now, an ultra-fast delivery service, which is currently live in Bengaluru, Mumbai, and Delhi, with pilots in other cities. The company said daily orders through M-Now doubled in the last quarter.
However, Sinha was optimistic about the company’s ecommerce business.
“If you look at how ecommerce has been over the last few years in the country, the scale that ecommerce has achieved, the opportunity is really big,” the CEO said, pointing to the $120-billion fashion market now being reshaped by a new generation of shoppers.
Also Read: Quick fashion delivery startups lean on AI, try-and-buy to cut costly returns
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