Swiggy rolls out Guru AI assistant for 2.7 lakh restaurant partners
Guru lets restaurant partners manage sales, orders, payouts, menus, ads and discounts through chat. Swiggy says the 24x7 tool supports more than 20 Indian languages and is being rolled out across its network in 720+ cities.
What happened
Swiggy launched Guru, an AI assistant for restaurant partners to manage sales, orders, payouts, menus, advertising and discounts through chat. The tool supports
Key facts
- 24x7 availability
- more than 30 metrics tracked
- more than 20 Indian languages
- over 12 years working with restaurants
- 720+ cities
- more than 2.7 lakh restaurants
Why this matters
Guru makes Swiggy a more deeply embedded restaurant operating platform, increasing the strategic value of integrations or acquisitions in POS, payments, restaurant SaaS and local-language AI.
What to watch
- Share of merchant support requests resolved by Guru without human intervention.
- Merchant adoption frequency, repeat usage and use across low-digital-literacy or non-English-speaking partners.
- Changes in restaurant ad penetration, discount participation and average merchant monetization after rollout.
- Reported errors involving payouts, order reconciliation, menu changes or promotional settings.
- Evidence of faster menu updates, lower cancellation rates, improved preparation-time accuracy or higher restaurant retention.
- Competitor responses from Zomato, ONDC-linked providers, POS vendors and restaurant SaaS platforms.
- Embed Guru recommendations into paid ads, discount campaigns, menu optimization and customer-retention tools.
- Introduce approval workflows, activity logs and human escalation for financially consequential actions such as payouts, promotions and pricing.
- Use aggregated merchant interaction data to identify churn risk, operational bottlenecks and categories needing localized supply expansion.
- Offer tiered AI-enabled merchant services or prioritize high-value partners with deeper analytics and campaign automation.
- Expand the assistant into voice interactions and regional-language onboarding for long-tail restaurant operators.