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Case Study

Routing Optimization

With our Routing Optimization project, we empowered our client to develop an advanced routing tool that automatically determines the most efficient routes for a given set of destinations. By utilizing cutting-edge AI technology, our solution enabled our client to optimize their beverage delivery operations and provide better service to their customers.

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Overview

Challenge

Incorporating restrictions into our routing solutions presented a complex challenge, as we needed to carefully consider various factors such as terrain conditions, vehicle availability, and vehicle size.

Problem

Approach

We leveraged Google OR-Tools to optimize vehicle routing based on data gathered on vehicles, drivers, and locations. Our primary objective was to achieve maximum coverage while meeting the requirement that certain critical Points of Sale be visited at least once a month.

Time Line

01

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Gather Data on Vehicles, Drivers and Restrictions

02

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Baseline Model developed

03

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Adjustements with Business Stakeholders

04

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Live testing on the road

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Jun 2021

Jul 2021

Aug 2021

Sep 2021

Key Insights

Our model enabled our customer to achieve a 95% customer coverage rate, surpassing the 60% coverage achieved by manual routing plans.

By utilizing optimization libraries like OR-Tools, we have the flexibility to customize restrictions based on specific business requirements and goals.

Open source tools, such as OpenStreetMap, provide free access to valuable terrain data that we can leverage for our projects.