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TRIMIS

Self-learning AI-based transport optimization software as a service for the most complex logis-tics scenarios in real-time enabling double-digit cost-, CO2- and tyre wear savings

Project

LogisticsBrain - Self-learning AI-based transport optimization software as a service for the most complex logis-tics scenarios in real-time enabling double-digit cost-, CO2- and tyre wear savings


Funding origin:
European
European Union
STRIA Roadmaps:
Transport infrastructure (INF)
Transport infrastructure
Transport mode:
Road
Road
Transport sectors:
Freight transport
Freight transport
Duration:
Start date: 01/06/2022,
End date: 31/05/2024

Status: Finished
Funding details:
Total cost:
€2 425 000
EU Contribution:
€1 697 500

Overview

Objectives:

Smartlane’s AI-based dispatch software LogisticsBrain is a self-learning, cloud-based software for automated transport optimization. Smartlane’s core technology – the scenario-based optimization AI algorithms in combination with KPI and process analysis – optimizes costs by 40%, planning time by 90%, resources, CO2 emissions and fine dust by 21%, and service quality. LogisticsBrain is the enabler of full automation for logistic systems and dispatching processes that so far still are based on manual processes. Sensitivity analyses offer global transport optima by computing several hun-dreds of scenarios in parallel. In this project, partial routes are linked to form a network flow by crowdsourcing. This allows for real time optimization of transport simply using one software – instead of more than three individual solutions as today. Transport logistics planning challenges are solved by standard-ized interfaces even for freight forwarders with complex IT environments.

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