The picture shows DHL rail wagons moving goods
‘Road to rail’ has been a topic of discussion in logistics for years. Now there is real momentum in our industry to tackle the challenges and find ways to make it work. Sustainability, among other factors, is driving this push. Global logistics leaders have a responsibility to develop greener solutions for the planet, and shifting to rail for long-haul freight transport is the next frontier for cutting CO2 emissions while delivering other benefits. Here’s how we can get it right.
Data science bears great potential for manufacturing. Advanced machine learning can help with more efficient production planning, predicitve maintanance for production machinery and with many more use cases that increase supply chain resilience. However, heterogeneous shop floor data hampers the roll-out of these use cases at scale. i-flow is here to solve this. We're happy to announce that we're part of i-flow's pre-seed round. i-flow offers a data harmonization solution to enable machine learning and other advanced data analytics use cases for industry 4.0.