How Greenwolf Helped Logistic Company Optimize Their Delivery Routes Through Analytics & Automation

Case Study Info >

Industry
Logistic

Solution Category
Automation & Analytics

Background

Greenwolf, a data analytics and consulting firm, partnered with a London-based logistics company that specializes in the supply of natural seawater to clients located across the United Kingdom. The company’s primary challenge was to ensure timely delivery of seawater to its customers. To achieve this, they were using Google Maps to identify delivery times and communicate them to clients a day before delivery.

Challenge

The company was manually listing down all delivery addresses and entering them on Google Maps to identify the best route. However, this was a time-consuming activity, and they were facing several issues such as the inability to add buffer time for each address and Google Maps’ limitation of optimizing only 25 addresses at a time.

Solution

Greenwolf analyzed the company’s problems and identified the best solution by exploring various Google APIs and open-source libraries. The solution developed by Greenwolf was multi-leveled, integrating various APIs to solve the client’s problems.
The solution comprised the following:

Automating Address Entry: Greenwolf automated the manual entry of addresses on Google Maps by developing a python-based solution. This eliminated the need for manual entry, saving time and reducing errors.

Adding Buffer Time: Greenwolf’s solution added a 10-minute buffer time for delivering parcels to increase the accuracy of delivery time. This ensured that the client was meeting its delivery commitments to customers.

Optimizing Delivery Routes: Greenwolf integrated an open-source API that helped identify the best route for more than 25 locations. The output data from this API was used in Google Maps to extract the exact delivery time.

Impact

Greenwolf’s solution delivered several benefits to the client. The client was able to save time, increase efficiency, and meet its delivery commitments to customers. By automating address entry and adding buffer time, the client was able to streamline its delivery process and eliminate errors. The integration of an open-source API enabled the client to optimize delivery routes, which significantly reduced delivery times and improved delivery efficiency.

The client was highly satisfied with Greenwolf’s solution, as they had tried to solve this use case with various other vendors but failed. Greenwolf’s solution was highly effective and delivered results beyond expectations. The client was able to optimize its delivery process and significantly reduce delivery times, resulting in increased customer satisfaction and repeat business.

Impact Overview

Automated Process

Better Accuracy

Time & Cost Efficient