Case Studies Leading Online Pharmacy Chain Reduces Delivery Tat by 18% Using A Unified Delivery Management Solution

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	Leading Online Pharmacy Chain Reduces Delivery Tat by 18% Using A Unified Delivery Management Solution

Leading Online Pharmacy Chain Reduces Delivery Tat by 18% Using A Unified Delivery Management Solution

Technology Category	Analytics & Modeling - Predictive Analytics Functional Applications - Fleet Management Systems (FMS) Functional Applications - Remote Monitoring & Control Systems
Applicable Industries	Healthcare & Hospitals Retail
Applicable Functions	Logistics & Transportation Warehouse & Inventory Management
Use Cases	Fleet Management Predictive Maintenance Real-Time Location System (RTLS)
Services	Software Design & Engineering Services System Integration
Challenge	To keep up with evolving end customer demands, our partner wanted to deliver orders using non-conventional and aggressive SLAs, such as executing fulfillment operations in 2 and 6 hours. But owing to the absence of a single robust application to manage on-demand, planned and 3PL-based deliveries and lack of automation capabilities, the online pharmacy store could not generate desired outcomes. Here's a detailed list of the key challenges they faced: Poor visibility of order movement and lack of end customer transparency, lack of capabilities to deliver on aggressive SLAs, surge in cases of deliveries being assigned to non-cost efficient fleet, and manual driver allocation and payment processes. Read More
About Customer	Our customer is a leading online pharmacy store. It's India's third-largest retail pharmacy and wellness products chain in terms of revenue. Operating a large omnichannel and hyperlocal retail network of 24x7 stores, the brand focuses on providing their customers with an assortment of pharmaceutical, nutraceutical, lifestyle and wellness products. Its catalog boasts of over 90,000+ products, including curative and preventive medicines. It operates out of more than 265 stores sprawling across Maharashtra, Goa and Karnataka. Read More
Solution	Shipsy implemented an automation-powered single platform to manage on-demand deliveries and planned or next-day deliveries. The platform also manages both floating fleet and 3PL-powered fulfillment operations. It enables intelligent selection of delivery partners and ensures seamless driver management and KPI-based payouts. Shipsy's platform empowers the customer to leverage drivers to cater to delivery demands coming from multiple stores. Using serviceability APIs, the platform quickly determines whether a driver is present at a particular location or not. If present, is he immediately available for delivery or not? Based on this, the system sends out an ETA to the end customer. It also prioritizes drivers based on whether they are part of a floating fleet or are dedicated to a store. The latter gets priority to ensure faster and cost-efficient order fulfillment. Shipsy's platform now dynamically changes the ETA based on delivery progress made at each point in the delivery lifecycle. Fresh ETAs are pushed with every status update so that the end customers, instead of seeing a bucket of 2 or 6 hrs, view a tentative time stamp by which they can expect their orders. Read More Log in to view content
Contents

Technology Category

Analytics & Modeling - Predictive Analytics

Functional Applications - Fleet Management Systems (FMS)

Functional Applications - Remote Monitoring & Control Systems

Applicable Industries

Healthcare & Hospitals

Retail

Applicable Functions

Logistics & Transportation

Warehouse & Inventory Management

Use Cases

Fleet Management

Predictive Maintenance

Real-Time Location System (RTLS)

Services

Software Design & Engineering Services

System Integration

Challenge

To keep up with evolving end customer demands, our partner wanted to deliver orders using non-conventional and aggressive SLAs, such as executing fulfillment operations in 2 and 6 hours. But owing to the absence of a single robust application to manage on-demand, planned and 3PL-based deliveries and lack of automation capabilities, the online pharmacy store could not generate desired outcomes. Here's a detailed list of the key challenges they faced: Poor visibility of order movement and lack of end customer transparency, lack of capabilities to deliver on aggressive SLAs, surge in cases of deliveries being assigned to non-cost efficient fleet, and manual driver allocation and payment processes.

About Customer

Our customer is a leading online pharmacy store. It's India's third-largest retail pharmacy and wellness products chain in terms of revenue. Operating a large omnichannel and hyperlocal retail network of 24x7 stores, the brand focuses on providing their customers with an assortment of pharmaceutical, nutraceutical, lifestyle and wellness products. Its catalog boasts of over 90,000+ products, including curative and preventive medicines. It operates out of more than 265 stores sprawling across Maharashtra, Goa and Karnataka.

Solution

Shipsy implemented an automation-powered single platform to manage on-demand deliveries and planned or next-day deliveries. The platform also manages both floating fleet and 3PL-powered fulfillment operations. It enables intelligent selection of delivery partners and ensures seamless driver management and KPI-based payouts. Shipsy's platform empowers the customer to leverage drivers to cater to delivery demands coming from multiple stores. Using serviceability APIs, the platform quickly determines whether a driver is present at a particular location or not. If present, is he immediately available for delivery or not? Based on this, the system sends out an ETA to the end customer. It also prioritizes drivers based on whether they are part of a floating fleet or are dedicated to a store. The latter gets priority to ensure faster and cost-efficient order fulfillment. Shipsy's platform now dynamically changes the ETA based on delivery progress made at each point in the delivery lifecycle. Fresh ETAs are pushed with every status update so that the end customers, instead of seeing a bucket of 2 or 6 hrs, view a tentative time stamp by which they can expect their orders.

Impact #1	Post-Shipsy's implementation, our customer now seamlessly manages on-demand and planned deliveries using a single platform. This has significantly enhanced visibility of delivery operations, optimized costs, improved fleet utilization and ensured efficient driver payouts processes.
Impact #2	Equitable distribution of fleet strength across stores.
Impact #3	Analytics-based decision making and improved reporting.

Impact #1

Post-Shipsy's implementation, our customer now seamlessly manages on-demand and planned deliveries using a single platform. This has significantly enhanced visibility of delivery operations, optimized costs, improved fleet utilization and ensured efficient driver payouts processes.

Impact #2

Equitable distribution of fleet strength across stores.

Impact #3

Analytics-based decision making and improved reporting.

Benefit #1	Increase in order volume by 2x post Shipsy’s go-live.
Benefit #2	Order volumes are poised to increase by 10K/day.
Benefit #3	Reduction in average delivery time from 110 mins to 90 mins.

Benefit #1

Increase in order volume by 2x post Shipsy’s go-live.

Benefit #2

Order volumes are poised to increase by 10K/day.

Benefit #3

Reduction in average delivery time from 110 mins to 90 mins.

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Overview

Leading Online Pharmacy Chain Reduces Delivery Tat by 18% Using A Unified Delivery Management Solution

Operational Impact

Quantitative Benefit