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

Introduction

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

Core Technology

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%
• Service quality

Automation Enablement

LogisticsBrain is the enabler of full automation for logistic systems and dispatching processes that so far still are based on manual processes.

Sensitivity Analyses

Sensitivity analyses offer global transport optima by computing several hundreds of scenarios in parallel.

Network Flow Optimization

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.

Standardized Interfaces

Transport logistics planning challenges are solved by standardized interfaces even for freight forwarders with complex IT environments.