Our Innovation Analysts recently looked into emerging technologies and up-and-coming startups in the logistics industry. As there is a large number of startups working on a wide variety of solutions, we decided to share our insights with you. So, let’s take a look at promising machine learning solutions for the logistics sector.
Heat Map: 4 Top Machine Learning Startups
For our 4 picks of machine learning startups in transportation, we used a data-driven startup scouting approach to identify the most relevant solutions globally. The Global Startup Heat Map below highlights 4 interesting examples out of 400 relevant solutions in the logistics industry. Depending on your specific needs, your top picks might look entirely different.
Click to enlarge
Embark – Autonomous Trucks
Minimizing the driver exhaustion on the road is now possible by using autonomous transportation including massive delivery trucks. Such vehicles are able to process on-demand autonomous rides; are equipped with parking assistance; have surround view; detect pedestrians and more. US-based startup Embark changes the means of commercial transportation by developing a fully autonomous self-driving truck that moves smoothly to guarantee safe delivery.
LogiNext – Delivery Route Optimization
Managing complicated logistics processes can be easily handled with the use “route and do quality control” services. These services enable the real-time analysis of the road for better manual or automatic control. US startup LogiNext develops an easily integrated system which offers management solutions for logistics matters: from selecting the most optimized route for safe on-time delivery to providing real-time analytics.
Cobli – Driver Monitoring
Accurate analysis of the driver’s behavior positively affects traffic safety and improves fuel consumption. By continuously monitoring the driver’s behavior, the system working on machine learning algorithms identifies aggressive driving. Brazilian startup Cobli, for instance, works on enhancing the accuracy rate of analyzing driver behavior. With the support of this data, logistics companies can easily identify the risks of dangerous driving habits and provide individual trainings or take other measures.
Transmetrics – Predictive Analytics & Demand Forecasting
Predictive optimization enables logistics companies to get much more insightful data from operations and forecast future challenges and opportunities. This optimization results in saving financial resources, decreases negative environmental influence and forecasts demand and supply. Based on artificial intelligence and big data, Bulgarian startup Transmetrics creates smart supply chains in transportation. Through an analysis of a company’s historical data and current external factors, they provide high-quality forecasts for cargo transportation companies.
What About The Other 396 Solutions?
While we believe data is key to creating insights it can be easy to be overwhelmed by it. Our ambition is to create a comprehensive overview and provide actionable innovation intelligence for your Proof of Concept (PoC), partnership, or investment targets. The 4 machine learning startups showcased above are promising examples out of 400 we analyzed for this article. To identify the most relevant solutions based on your specific criteria and collaboration strategy, get in touch.
