Case Study: Leading Quick Commerce Service Provider achieves 10-minute grocery delivery across metro cities and 99.7% auto-allocation with Shipsy

Quick commerce provider automates Order allocation to scale 10 mins grocery delivery across cities

Leading Quick Commerce Service Provider, a rapidly scaling quick commerce operator running 43 dark stores and ~100,000 deliveries per month across Chennai, Bangalore, Mumbai and Delhi NCR, faced inability to scale delivery operations, risk of system breakdown under massive order volumes, low auto-allocation rates and completely manual COD and payout processes. They engaged Shipsy to address these challenges using its on-demand delivery management platform and AI-enabled auto allocation capabilities.

Shipsy implemented a highly configurable, scalable auto-allocation engine plus a driver app, driver management, unified customer communication and analytics dashboards to automate core delivery workflows. As a result, the customer delivers groceries in 10 minutes across metro cities, achieves 99.7% auto-allocation, scaled its on-demand delivery business 25x in six months, and significantly reduced manual intervention while improving driver payout fairness and operational visibility.