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

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	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
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. Read More
About 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. Read More
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. Read More Log in to view content
Contents

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

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 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.

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.

Impact #1	As much as 90% of orders are auto allocated.
Impact #2	On-time delivery volumes were scaled to 90%.
Impact #3	High levels of customer privacy driven by call masking.

Impact #1

As much as 90% of orders are auto allocated.

Impact #2

On-time delivery volumes were scaled to 90%.

Impact #3

High levels of customer privacy driven by call masking.

Benefit #1	Average dispatch to delivery time reduced to 25 minutes.
Benefit #2	Significant reduction in delivery attempts owing to advanced geocoding.

Benefit #1

Average dispatch to delivery time reduced to 25 minutes.

Benefit #2

Significant reduction in delivery attempts owing to advanced geocoding.

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Overview

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

Operational Impact

Quantitative Benefit