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LogisticsBrain

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Self-learning AI-based transport optimization software as a service for the most...

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 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 K... see more

31/05/2024

SMARTLANE GMBH

2M€

Project Budget: 2M€

Project leader

SMARTLANE GMBH No se ha especificado una descripción o un objeto social para esta compañía.

PARTICIPATION DEPralty Sin fecha límite de participación.

Financing granted El organismo HORIZON EUROPE notifico la concesión del proyecto The day 2024-05-31

HORIZON-EIC-2021-ACCELERATORCHALLENGES-01-01: Strategic Digital and Health Techno... Scope:The EIC Accelerator Challenges supports companies (principally start-ups and SMEs) to scale up...

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Este proyecto no cuenta con búsquedas de partenariado abiertas en este momento.

Private Information

No hay información privada compartida para este proyecto. Habla con el coordinador.

1 Participantes

SMARTLANE GMBH

1.70M€ | Leader

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Project duration: 24 months Date Start: 2022-05-13
End date: 2024-05-31

Project leader

SMARTLANE GMBH No se ha especificado una descripción o un objeto social para esta compañía.

Project Budget 2M€

participation deadline Sin fecha límite de participación.

Project description 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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