Structuring unorganised open data usable for waste mapping
Route optimisation and simulation designed to solve waste-specific reverse logistic problems
Structuring and augmenting unorganised public and private data usable for waste planning
Our algorithms take less than 1 min to calculate routes for 8'000+ collection points.
Cleansing and analysing historical data, rectifying incorrect data, and building hyper-realistic hypotheses required for accurate route planning.
Handling truck capacity, service time windows, multiple-offloads, single-curb-side service, traffic, and other waste-specific constraints.
Complements any ERP / CRM
Integrates with any system used by the haulier to provide AI planning and optimisation to the waste logistics
Waste Labs is happy to share various case studies detailing our approach to the Circular economy. Each case study outlines the client's problem, the project steps, and the fantastic results we achieved.