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

Informacje na temat projektu

LogisticsBrain

Identyfikator umowy o grant: 190195324

DOI

10.3030/190195324

Projekt został zamknięty

Data podpisania przez KE 13 Maja 2022

Data rozpoczęcia 1 Czerwca 2022

Data zakończenia 31 Maja 2024

Finansowanie w ramach

• The European Innovation Council (EIC)

Koszt całkowity

€ 2 425 000,00

Wkład UE

€ 1 697 500,00

Koordynowany przez

SMARTLANE GMBH
Germany

Periodic Reporting for period 2 - 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)

Okres sprawozdawczy: 2023-06-01 do 2024-05-31

Podsumowanie kontekstu i ogólnych celów projektu

Smartlane’s AI-based dispatch software LogisticsBrain is a self-learning, cloud-based software for automated transport optimization.

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 hundreds 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 standardized interfaces even for freight forwarders with complex IT environments.

The key objective is to finalise our AI models and qualify the solution via pilots with prospective customers to develop our solution to TRL 8.

Prace wykonane od początku projektu do końca okresu sprawozdawczego oraz najważniejsze dotychczasowe rezultaty

LogisticsBrain’s AI core was successfully extended to cope with the most complex transport scenarios of 50+ hubs and multi-day routes with less-than-truckload (LTL), full truck load (FTL), and excess pallets.

For the pilots, we have focused our efforts in qualifying the full truck load (FTL) optimisation use case. Our API was successfully integrated with the pilot customer’s transport management system (TMS).

We also clustered our current lead pipeline to focus on freight forwarders specializing in FTL transportation. The German FTL sector alone includes around 20,000 freight forwarding and transport companies, and our current lead pipeline comprises over 360 leads with a primary focus on FTL transportation, providing access to clients to concrete numbers concerning their operational costs and allowing 100% cost transparency.

We further began developing and testing a CO2 report for our customers, aiming to reduce CO2 emissions and costs, while simultaneously enhancing market awareness through this innovative marketing instrument.

Innowacyjność oraz oczekiwany potencjalny wpływ (w tym dotychczasowe znaczenie społeczno-gospodarcze i szersze implikacje społeczne projektu)

LogisticsBrain was optimised using 4 months historical data (~25,000 shipments) and qualified for 3 months period by optimising FTL in 50 live plannings with a planning horizon of 2-3 days (~13,000 shipments). Results have shown that LogisticsBrain automates 80% of route planning and has the potential to save 2-3 FTEs per hub.

Our broad impact is contributing on the cost reduction and growth of our clients in a networked supply chain ecosystem. Our AI-based optimization engine for autonomous transport systems lowers operating costs due to route optimization and lowers durations of disposition, which increases delivery reliability. This addresses the mission "Shaping Europe's digital future" by providing technology that support the logistics industry within its currently occurring digital transformation process. Additionally, has a positive impact on building and keeping a flourishing European economy by facilitating the flow of goods by ensuring that transport, storage, provision, procurement and distribution is done safely and efficiently.

We further make a positive environmental impact. With LogisticsBrain we are improving the competitiveness of the EU by increasing efficiency in the logistics industry, actively combating climate change through approx. 21% CO2 savings per customer and, thus, are addressing the European Green Deal priority. The respective CO2 report for our customers, underpinning our claim, is under development. Since 26% of all emissions in Europe are caused by road freight transport, the impact of spreading our solution across Europe will be massive.

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