Case Study: Swiggy achieves more reliable rain-time deliveries and improved customer ETAs with Tomorrow.io

Tomorrow.io Predicts the Business Impact of Rain to Power On-Demand Deliveries for Swiggy

Swiggy, India’s leading on-demand delivery platform operating in 500+ cities, faced a major operational challenge: unexpected rainstorms that delay deliveries, raise costs, and harm customer experience. To address this, Swiggy partnered with Tomorrow.io and adopted the Tomorrow.io Weather Intelligence Platform to get hyperlocal, street-level forecasts and weather-impact insights.

Tomorrow.io used proprietary precipitation models and API integrations to deliver historical and predictive, hyperlocal impact data (noting India sees precipitation ~10% of the year and a ~3x increase June–September), enabling Swiggy to optimize go-to-market timing, delivery-partner engagement, and customer ETAs. The Tomorrow.io solution helped Swiggy meaningfully improve customer experience during the pilot by turning forecasts into automated operational actions across routing, incentives, and marketing.

Swiggy

Ashish Chatterjee

VP – Product Operations