Tomas Ohlson, Founding Engineer at Einride, discusses how electric and autonomous vehicles are streamlining logistics workflows and providing cost reductions. They explore the best places for human judgment in supervising supply chains and the role of data optimization and machine learning. The chapter on the autonomy spectrum in freight workflows highlights the need for human supervision and problem-solving for efficient operation.
Read more
AI Summary
AI Chapters
Episode notes
auto_awesome
Podcast summary created with Snipd AI
Quick takeaways
Electric and autonomous vehicles are streamlining logistics workflows and reducing costs in areas such as energy use and inventory prediction.
The fragmented structure of the market creates inefficiencies, unsustainable working conditions, and suboptimal wages.
Deep dives
Streamlining logistics workflows with electric and autonomous vehicles
Thomas Olson from Eynride discusses how electric and autonomous vehicles are simplifying logistics workflows and reducing costs in areas such as energy use and inventory prediction. The introduction of electric trucks has addressed sustainability concerns in the industry, both ecologically and socially. Digitization is seen as the key to unlocking greater efficiencies in the market, but the current framework is a major obstacle. The fragmented structure of the market creates inefficiencies, unsustainable working conditions, and suboptimal wages.
Market challenges and the need for change in logistics and freight
The logistics and freight industry faces several challenges, both from public policy and private sector limitations. The market's structure, with OEMs providing trucks to owner operators who sell freight to shippers, lacks optimization for efficient movement of goods. The owner operators are often squeezed in unsustainable working conditions. While public policies are increasingly raising diesel costs, early adopters of electric and autonomous technologies have a greater advantage. Clear strategies, policy support, and optimization of constraints through data can drive cost reductions.
Data-driven solutions for increasing efficiency in freight transportation
Eynride's focus on electric and autonomous vehicles relies on data to optimize efficiencies. Electric vehicles offer lower maintenance costs, longer lifetimes, and sustainability benefits, but challenges like range anxiety, cost, and charging need to be managed efficiently. Data plays a crucial role in addressing these constraints and optimizing each component of the system. Machine learning solutions can handle the complexity and help in decision-making processes. Human supervision and intervention are necessary in autonomous freight workflows, primarily for anomaly detection, maintenance, negotiations, and operational problem-solving.
Today’s guest is Tomas Ohlson, Founding Engineer at Einride. Einride is a Swedish-based logistics and technology company best known for pioneering automated transportation solutions and leveraging data to drive cost efficiencies across supply chains. Together with Emerj Senior Editor Matthew DeMello, Tomas explains how electric and autonomous vehicles are streamlining inefficiencies in logistics workflows, and providing cost reductions in everything from energy use to inventory prediction. Later, they explore how an automation-first approach is giving us a new perspective on the best places for human judgment in supervising supply chains. If you’ve enjoyed or benefited from some of the insights of this episode, consider leaving us a five-star review on Apple Podcasts, and let us know what you learned, found helpful, or liked most about this show!
Get the Snipd podcast app
Unlock the knowledge in podcasts with the podcast player of the future.
AI-powered podcast player
Listen to all your favourite podcasts with AI-powered features
Discover highlights
Listen to the best highlights from the podcasts you love and dive into the full episode
Save any moment
Hear something you like? Tap your headphones to save it with AI-generated key takeaways
Share & Export
Send highlights to Twitter, WhatsApp or export them to Notion, Readwise & more
AI-powered podcast player
Listen to all your favourite podcasts with AI-powered features
Discover highlights
Listen to the best highlights from the podcasts you love and dive into the full episode