Case Study: Major eCommerce B2C Delivery Service Provider achieves 90% auto allocation and 90% on-time delivery volumes with Shipsy

Quick commerce provider automates Delivery allocation and Scales on-time delivery volumes

Major eCommerce B2C Delivery Service Provider is a quick-commerce online supermarket app operating across 27 dark stores with more than 600 drivers and over 250,000 deliveries per month. Rapid growth exposed manual delivery allocation, poor visibility, rising first-attempt delivery failures, privacy concerns, and an inability to scale operations and customize slot-based deliveries to market demand.

Shipsy implemented its agile, flexible on-demand delivery management platform with robust auto-allocation, geofence-based allocation, intelligent order clubbing, real-time tracking, call masking and analytics-enabled dashboards, deployed within two weeks. As a result, Shipsy enabled 90% auto-allocation of orders, scaled on-time delivery volumes to ~90%, reduced average dispatch-to-delivery time to 25 minutes, improved trip accuracy and productivity, and significantly lowered repeat delivery attempts while ensuring high end-customer privacy.