Meesho, MakeMyTrip, Aisle deploy AI assistants to fight choice overload and win Tier-2 voice shoppers

Indian retail and travel platforms are rolling out conversational AI (Vaani, Myra, Aisle Concierge) to shift from search-led to intent-led commerce. Early signals: Vaani hit 5 lakh users in a month, Myra handles 80,000 conversations a day, and Aisle reports 15% revenue lift with AI-assistant users up 90%.

— Source publishedTue, 14 Jul, 2026, 08:51 IST·First seen Tue, 14 Jul, 2026, 09:41 IST·Source ET BrandEquity

What happened

Indian retail and travel platforms Meesho, MakeMyTrip and Aisle are deploying AI-powered conversational assistants (Vaani, Myra, Aisle Concierge) to combat

Key facts

  • 102 crore internet subscribers
  • 28 crore online shoppers
  • 500 million non-metro users
  • 15 lakh Vaani users
  • 5 lakh users in one month
  • 40% pilot cohort
  • 94% found shopping easier
  • 62% comfortable with AI
  • 80,000 Myra conversations/day
  • Aisle revenue up 15%
  • AI assistant users up 90%

Why this matters

The race to own vernacular voice commerce is heating up across retail and travel, making conversational-AI capability and Tier-2 user reach attractive targets for acquisition or partnership before winners consolidate.

What to watch

  • 30/60/90-day retention and repeat-conversation rates behind the headline user spikes
  • AOV and margin impact disclosure vs. pure GMV lift
  • DPDP/data-consent and AI-recommendation transparency regulatory signals
  • Competitor assistant launches or LLM vendor partnership announcements
  • Cost-per-conversation and inference economics disclosures affecting unit economics
  • Expect Flipkart/Amazon India and Nykaa to accelerate their own conversational assistants or partner with LLM vendors
  • Meesho/MakeMyTrip to push vernacular language coverage (Hindi + regional) and voice input as the wedge for Tier-2 acquisition
  • Ad and brand-sponsored placements to migrate into conversational surfaces (assistant-as-adslot monetization)
  • Payments/checkout integrations inside chat flows to compress funnel and lift AOV

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