Optimising waste routes with AI-powered planning
At Linkroad, we helped a leading company in the environmental services sector transform its waste collection operations through advanced route optimisation. By combining AI algorithms, real-time data, and smart logistics, the company reduced operational costs, cut CO₂ emissions, and improved service efficiency. This project demonstrates how the utilities and energy sector can leverage data and AI to deliver more sustainable, efficient, and resilient services.
Waste collection route optimisation
Objective: To optimise urban and commercial waste collection routes across multiple regions, reducing operational costs, maximising vehicle and staff efficiency, and ensuring compliance with service times and regulatory requirements.
Decide, part of the Linkroad ecosystem, developed an advanced optimisation algorithm that integrates demand data, vehicle capacity, schedules, and regulations. The solution generates optimal collection routes in seconds, simulates multiple scenarios, and dynamically adjusts operations in case of incidents. With built-in map visualisation and analytics tools, it empowers decision-makers with actionable insights to streamline operations.
This case illustrates how companies in the environmental services sector can harness AI-powered logistics to optimise operations, reduce environmental impact, and increase service efficiency. With Decide and Linkroad, utilities and energy organisations can turn complexity into opportunity through intelligent route optimisation.
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