At Smartlane, we are committed to helping ensure reliable, sustainable and efficient transportation of goods. This is why we have developed a smart, AI-based optimization software solution.
The result of many years of research conducted by the founders at the Technical University of Munich, Smartlane Transport Intelligence enables step-by-step digitalization and automation of transportation planning (dispatch). The self-learning, cloud-based technology for the first time reduces the dispatching effort by up to 90% while optimizing resource utilization and cutting both, operating costs and CO2 emissions by up to 21%. Through our partner network, which comprises numerous suppliers of TMS and telematics software, we can offer our customers seamless integration with their existing IT environments. Our customer base includes many medium-sized carrier companies, with several members of the Cargoline network among them.
Our mission is to empower freight forwarders to transport goods as efficiently and sustainably as possible by our AI-based technology for automated dispatching.
We achieve this through:
Our innovative strength:
Expressed in our AI-based optimization and automation software.
years of know-how complemented by a significant network.
of being able to make logistics more efficient, economical and sustainable.
- Scientific research work at the Academic Chair of Traffic Engineering and Control at the Technical University of Munich (TUM)
- Smartlane GmbH established
- The first prestigious investors join, including Siemens and ideenschaft
- Successful release of the first version of Smartlane Transport Intelligence
- Several well-known logistics companies added to the customer base
- Involvement of additional investors, such as NLA and Mobility Fund
- Europe’s Best AI Start-up Award won
- Voted “Start-up of The Year” by Handelsblatt business newspaper
- Freigeist added to roster of investors
- Major new developments of the product specifically for regional unit load distribution
- Awarded EU research project for integrated network planning