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Case Studies > Quick Commerce Provider Automates Delivery Allocation and Scales On-Time Delivery Volumes

Quick Commerce Provider Automates Delivery Allocation and Scales On-Time Delivery Volumes

Technology Category
  • Analytics & Modeling - Predictive Analytics
  • Functional Applications - Remote Monitoring & Control Systems
  • Functional Applications - Warehouse Management Systems (WMS)
Applicable Industries
  • E-Commerce
  • Retail
Applicable Functions
  • Logistics & Transportation
  • Warehouse & Inventory Management
Use Cases
  • Fleet Management
  • Predictive Maintenance
  • Real-Time Location System (RTLS)
  • Supply Chain Visibility
Services
  • Software Design & Engineering Services
  • System Integration
The Challenge
Rapid growth in demand for its grocery delivery presented the customer with scalability challenges. Other operational problems like manual processes, poor visibility, and difficulties in ensuring customer centricity were weighing down their delivery operations. The need to address end-user privacy, growing first-attempt delivery failures, poor customer experience, and delivery visibility, inability to scale operations based on market demands, inability to customize deliveries based on business needs, inefficient slot-based delivery management, and manual delivery allocation of drivers and routes were some of the critical challenges they had to address to sustain growth.
About The Customer
The customer, an eCommerce major’s B2C delivery venture, is an online supermarket application for getting fruits, vegetables, dairy products, bakery items, and other daily essentials delivered to customers’ doorstep. Operating across 27 dark stores with more than 600 drivers, our customer manages and executes more than 2.5 lakh deliveries per month. The customer has established itself as a significant player in the quick commerce sector, focusing on providing a seamless and efficient delivery experience to its end-users.
The Solution
Our customer was looking for a delivery management partner who could empower them to generate valuable business outcomes across multiple stages of growth. Shipsy’s partnership approach, strong tech focus, accompanied by its flexible, agile, and automation-driven on-demand delivery management solution, was the natural choice for the quick commerce provider. Shipsy ensured that the solution was up and running within two weeks to ensure zero business disruptions and seamless technology migration. Key features of the solution include auto allocation of orders to drivers, geofence-based order allocation, multiple order clubbing, ensuring slot-based deliveries, real-time order tracking, unified customer communication, suspicious delivery alerts, call masking, analytics-powered dashboards, and device compatibility. These features collectively enhanced the customer’s delivery operations, ensuring faster delivery turnaround times, improved customer experiences, high levels of ETA adherence, and more.
Operational Impact
  • As much as 90% of orders are auto allocated.
  • On-time delivery volumes were scaled to 90%.
  • High levels of customer privacy driven by call masking.
Quantitative Benefit
  • Average dispatch to delivery time reduced to 25 minutes.
  • Significant reduction in delivery attempts owing to advanced geocoding.

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