Amazon, Meesho and Flipkart step up AI tools for marketplace sellers

Amazon India is using AI for seller onboarding, catalogue creation, inventory insights and cross-border expansion, while Meesho says its AI handles up to 300,000 seller calls daily. Flipkart is also expanding AI-led tools across seller operations, forecasting, pricing and fulfilment.

— Source published Tue, 18 Aug, 2026, 08:00 IST · First seen Tue, 18 Aug, 2026, 08:51 IST · Source Inc42 · Buzz

What happened

Amazon India, Meesho and Flipkart are deploying AI tools to improve seller onboarding, catalogues, forecasting, pricing and fulfilment. The roundup also covers

Key facts

  • Amazon India assistant supports seller onboarding, catalogue creation, inventory, business insights and international expansion
  • Meesho AI handles up to 3 lakh seller calls a day
  • Atomberg board approved a proposed IPO of up to ₹450 crore and a pre-IPO placement of up to ₹90 crore
  • Atomberg reported FY25 revenue of ₹958.4 crore and net loss of ₹117 crore
  • PhonePe processed 1,086 crore UPI transactions worth ₹14.4 lakh crore in July
  • Google Pay processed 765 crore UPI transactions worth ₹10 lakh crore in July
  • Navi market share rose to 4% from 3.7% in June
  • UPI transaction value rose 3% month-on-month to ₹29.88 lakh crore in July

Why this matters

Retail platforms and enablers should prioritise acquisitions or partnerships in seller copilots, catalogue intelligence, forecasting and cross-border compliance to close capability gaps quickly.

What to watch

  • Seller onboarding time, active-seller growth and new-SKU creation rates after AI tool launches.
  • Reported adoption and outcomes: catalogue completion, conversion, return rates, stockouts, fulfilment SLA compliance and seller support resolution time.
  • Whether AI capabilities are offered free, bundled with logistics/ads, or monetized as premium seller services.
  • Growth in marketplace lending or inventory-finance products using AI-generated seller performance signals.
  • Seller complaints involving erroneous listings, automated account enforcement, recommendation opacity or AI-driven pricing.
  • Cross-border seller expansion metrics, particularly catalogue translation, compliance automation and export GMV.
  • Bundle AI seller tools with advertising credits, fulfilment incentives and preferential onboarding to convert tool adoption into higher platform spend.
  • Expand vernacular voice agents and WhatsApp-style seller support, especially for non-metro micro-sellers and first-time digital merchants.
  • Use AI-generated catalogue enrichment to improve search relevance, reduce duplicate listings and accelerate cross-border listing creation.
  • Turn seller operations data into embedded-finance offers, including inventory credit, payout advances and dynamic insurance.
  • Differentiate through closed-loop recommendations linking pricing, demand forecasts, ad bidding, replenishment and fulfilment choices.

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