The digital heart of your environmental logistics, for fast decisions and waste-free routes.
Business problem
Anyone who manages environmental logistics knows it: costs rise, regulatory constraints multiply and collection plans get harder to build every year. Routes overlap, vehicles are never fully loaded, and the planner spends days piecing variables together. The result? Excess kilometres, wasted hours, SLAs at risk, plus the feeling of never having enough control over the process.
OptiWasteLogistics automates the operational design of collection services, eliminating redundant routes and balancing the workloads of vehicles and staff with scientifically validated optimisation algorithms.
OptiWasteLogistics solves the inefficiencies of waste collection services through a scientific approach based on advanced algorithms. This lets you:
eliminate redundant routes, cutting kilometres and fuel;
balance workloads to maximise the productivity of vehicles and staff.
Our solution
OptiWasteLogistics is the modular web-based platform that supports the entire process of designing and redesigning waste collection services. Every stage is driven by data and algorithms, no longer by the individual planner’s experience.
From grouping collection points to generating collection calendars, the application lets you:
run data-driven scenario analysis for tenders or reorganisations and redesigns;
optimise kerbside and door-to-door collection services;
reduce the time-to-market of planning thanks to automation.
How it works
OptiWasteLogistics integrates proprietary optimisation algorithms to support every stage of designing and redesigning collection services. The process is made up of two complementary macro-phases:
Tactical planning: it groups collection points into balanced service zones, respecting vehicle capacity constraints, shifts and service frequencies.
Operational planning: it generates the exact visit sequence for collection points, minimising times and distances in line with the real road network.
Benefits
Lower operating costs: up to 8–15% fewer kilometres driven and optimised service hours.
Better service levels: collection plans always consistent with the SLAs required locally and easily adaptable to change.
Environmental sustainability: a significant cut in CO₂ emissions thanks to optimal vehicle fill.
Making the most of know-how: the planner’s experience is digitalised and automated, making processes scalable and repeatable.
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