Business Standard reported on 22 July 2026 that Myntra was expanding AI use across personalised search, seller onboarding, product-video production and customer support. Company performance figures should be understood as reported claims.
Where Myntra is applying AI
The report described AI-supported search personalisation, tools for generating product videos, faster seller onboarding and AI voice agents for support. These examples show how AI can affect both the shopper experience and operations; they do not mean every capability is available to every seller.

Why styling assistance matters in fashion
A shopper may want earrings that suit a kurta, a necklace for a neckline or a shawl that balances an outfit. An assistant can narrow options when it uses accurate catalogue details and makes suggestions easy to verify.
What smaller ecommerce stores can learn
- Fix product data first. Keep titles, descriptions, variants, materials and dimensions accurate.
- Use real product imagery. Lifestyle images should not imply unverified attributes.
- Answer common questions. Explain fit, included pieces, care and policies when known.
- Make discovery easier. Organise collections and internal links from guides to products.
- Measure before expanding. Check whether a tool helps discovery or reduces support friction.

AI is not a substitute for reliable operations
A recommendation system cannot compensate for inaccurate availability, missing details, broken links or unclear returns. Retailers should protect customer data and keep a human route available when automation is not enough.
How to judge future AI claims
Check the date, whether a feature is a test or full rollout, who can access it, and whether performance figures come from a company or independent source. A headline is not proof of a guaranteed business outcome.
Source: Business Standard, 22 July 2026.
Takeaway
The lesson from Myntra's reported AI expansion is not that every store needs a complex AI system immediately. Accurate catalogue data, useful styling content, dependable policies and measurable support are practical foundations for future AI-assisted shopping.

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