Swiggy launches 24x7 AI assistant Guru for restaurant partners

Guru is rolling out to Swiggy’s restaurant partners across 720+ cities, offering conversational support in 20+ vernacular languages for sales analysis, ads, discounts, menu optimisation, payouts and operational queries.

— Source published Mon, 17 Aug, 2026, 14:48 IST · First seen Mon, 17 Aug, 2026, 15:00 IST · Source ET Small Business

What happened

Swiggy launched Guru, a 24x7 AI business assistant for restaurant partners across over 720 Indian cities. The conversational tool supports 20-plus languages and

Key facts

  • 24x7
  • over 720 cities
  • more than 2.7 lakh restaurants
  • more than 20 vernacular languages
  • more than 30 metrics
  • over 12 years
  • one in every seven food orders
  • Rs 60,000 crore

Why this matters

Swiggy’s rollout highlights the strategic value of AI-enabled merchant operating systems, making restaurant-tech, vernacular AI and workflow-automation providers increasingly relevant partnership or acquisition targets.

What to watch

  • Disclosure of Guru adoption, query volumes, resolution rates and reduction in human-support tickets.
  • Growth in restaurant advertising revenue, paid promotion participation and merchant-tool attach rates.
  • Merchant complaints related to incorrect payouts, discount recommendations, tax guidance or inability to reach human support.
  • Changes in restaurant churn, active partner counts and order growth in smaller cities.
  • Competitor responses from Zomato, ONDC-linked platforms and restaurant SaaS providers with vernacular AI tools.
  • Evidence that Guru recommendations improve restaurant sales, ratings, preparation times or cancellation rates.
  • Integrate Guru recommendations directly into merchant dashboards for one-click changes to menus, ads, discounts and operating hours.
  • Use Guru interaction data to segment merchants by growth potential and target them with advertising, financing, logistics and subscription offers.
  • Expand AI support into proactive alerts on order trends, stock-outs, ratings, cancellation drivers and competitor pricing.
  • Reduce or redeploy human partner-support operations toward high-value account management and dispute resolution.
  • Introduce AI-assisted campaign optimisation products that tie ad spend recommendations to measurable order outcomes.