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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

Objetivo

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.

Ámbito científico

CORDIS clasifica los proyectos con EuroSciVoc, una taxonomía plurilingüe de ámbitos científicos, mediante un proceso semiautomático basado en técnicas de procesamiento del lenguaje natural.

Coordinador

SMARTLANE GMBH
Aportación neta de la UEn
€ 1 697 500,00
Dirección
ELSENHEIMERSTRASSE 45
80687 MUNCHEN
Alemania

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Pyme

Organización definida por ella misma como pequeña y mediana empresa (pyme) en el momento de la firma del acuerdo de subvención.

Región
Bayern Oberbayern München, Kreisfreie Stadt
Tipo de actividad
Private for-profit entities (excluding Higher or Secondary Education Establishments)
Enlaces
Coste total
€ 2 425 000,00