Matthias Winkenbach's guest appearances

Matthias Winkenbach

Freightvine

More Intelligent Tomorrow: a DataRobot Podcast

Jason Miller

Eric Boduch

Baratunde Thurston

Josh Dolan

Brian Solis

Tim Gagnon

David Brin

Michael Mina

Craig Fuller

Dan Lewis

Hannah Fry

Chris Pickett

Adrian Gonzalez

Mark Purdy

Will Hurd

OwlTail

If the pandemic has taught us anything, it’s the value of having goods delivered right to our front door. From fast food ordered on an app, to next day shipping from an online store, the distance from click to delivery is getting shorter all the time. What most of us don’t realize is that the hardest part of delivering an order is the last mile.More Intelligent Tomorrow host Ben Taylor asked researcher Dr. Matthias Winckenbach to explain what he means by “the last mile” and why it’s so difficult to cover.The term “the last mile” refers to the home stretch of the supply chain where goods are moved from the final distribution location to the customer. It can represent as much as 40% of the overall supply chain costs despite almost always being the shortest segment. This is why there’s a lot of effort going into optimizing it."The cost and complexity of last mile delivery very much comes from the fragmentation of shipments."Customer expectations for faster, more flexible deliveries, with shorter lead times are running up the cost of covering the last mile. But financial costs aren’t the only concern. Our increase in demand might be having a negative impact on the environment as well. Increased demand means fewer opportunities for suppliers to consolidate, and that means more trips are needed to deliver the additional load of packages. Those extra trips use more fuel and put more traffic on the road.The challenge is that you're adding complexity to the system. Now you're managing inventory across many more locations while trying to predict demand in any one location. With this move to hyper localized inventory, the traditional methods of optimization must be updated.There’s a theoretical optimal solution to routing a package. It’s sometimes referred to as the Traveling Salesman Problem. But variables like traffic, customer availability, parking, and even the mood of the driver can impact the delivery in ways the optimal solution can’t predict. And all these things can change once the delivery is underway, meaning the optimal solution may no longer be valid. AI/ML can complement traditional planning methods to create better routes.Ben wonders if aerial delivery drones are the answer. They can fly directly to a location and don't have to deal with things like traffic and parking. Matthias thinks the answer seems to be no, at least not right away. There are regulatory, technological, and societal issues we need to overcome first. The density of deliveries in an urban area could lead to large swarms of drones buzzing overhead. The sky would fill up quickly.From an economic point of view, it’s hard to beat an effectively designed ground delivery route. Drones are still expensive, and you’d need up to 300 of them to match the capacity of a single truck. But one day, there might be a hybrid solution where a drone and delivery truck could collaborate to deliver your package. "A lot of people don't realize how difficult it is to get that package to the doorstep every morning."Listen to this episode of More Intelligent Tomorrow to learn:What the last mile meansHow it increases the cost of goodsThe impact the last mile has on the environmentIf drones might be the answer to the problemWhat’s needed so AI/ML can help solve the problemIf delayed gratification is the answer

If the pandemic has taught us anything, it’s the value of having goods delivered right to our front door. From fast food ordered on an app, to next day shipping from an online store, the distance from click to delivery is getting shorter all the time. What most of us don’t realize is that the hardest part of delivering an order is the last mile.<a href="https://www.moreintelligent.ai/" rel="nofollow" target="_blank">More Intelligent Tomorrow</a> host <a href="https://www.moreintelligent.ai/contributors/ben-taylor/" rel="nofollow" target="_blank">Ben Taylor</a> asked researcher <a href="https://ctl.mit.edu/about/bio/matthias-winkenbach" rel="nofollow" target="_blank">Dr. Matthias Winckenbach</a> to explain what he means by “the last mile” and why it’s so difficult to cover.The term “the last mile” refers to the home stretch of the supply chain where goods are moved from the final distribution location to the customer. It can represent as much as 40% of the overall supply chain costs despite almost always being the shortest segment. This is why there’s a lot of effort going into optimizing it."The cost and complexity of last mile delivery very much comes from the fragmentation of shipments." Customer expectations for faster, more flexible deliveries, with shorter lead times are running up the cost of covering the last mile. But financial costs aren’t the only concern. Our increase in demand might be having a negative impact on the environment as well. Increased demand means fewer opportunities for suppliers to consolidate, and that means more trips are needed to deliver the additional load of packages. Those extra trips use more fuel and put more traffic on the road.The challenge is that you're adding complexity to the system. Now you're managing inventory across many more locations while trying to predict demand in any one location. With this move to hyper localized inventory, the traditional methods of optimization must be updated.There’s a theoretical optimal solution to routing a package. It’s sometimes referred to as the <a href="https://en.wikipedia.org/wiki/Travelling_salesman_problem" rel="nofollow" target="_blank">Traveling Salesman Problem</a>. But variables like traffic, customer availability, parking, and even the mood of the driver can impact the delivery in ways the optimal solution can’t predict. And all these things can change once the delivery is underway, meaning the optimal solution may no longer be valid. AI/ML can complement traditional planning methods to create better routes.Ben wonders if aerial delivery drones are the answer. They can fly directly to a location and don't have to deal with things like traffic and parking. Matthias thinks the answer seems to be no, at least not right away. There are regulatory, technological, and societal issues we need to overcome first. The density of deliveries in an urban area could lead to large swarms of drones buzzing overhead. The sky would fill up quickly.From an economic point of view, it’s hard to beat an effectively designed ground delivery route. Drones are still expensive, and you’d need up to 300 of them to match the capacity of a single truck. But one day, there might be a hybrid solution where a drone and delivery truck could collaborate to deliver your package. "A lot of people don't realize how difficult it is to get that package to the doorstep every morning."Listen to this episode of More Intelligent Tomorrow to learn:<ul><li>What the last mile means</li><li>How it increases the cost of goods</li><li>The impact the last mile has on the environment</li><li>If drones might be the answer to the problem</li><li>What’s needed so AI/ML can help solve the problem</li><li>If delayed gratification is the answer</li></ul>

The Cost and Complexity of Last Mile Delivery - Dr. Matthias Winkenbach

In this episode, Chris Caplice sits down with his MIT colleague and last mile transportation expert, Dr. Matthias Winkenbach. The duo discuss what it takes to build an effective last mile delivery strategy in urban areas with tactics such as: Multi-tier distribution On-demand delivery Drone logistics  Their discussion wraps up with what Matthias thinks will stick around in the transportation industry as a result of COVID-19. Inam Iyoob then joins Chris for the latest North American truckload market rate trends and forecast powered by FMIC.  [16:29] ICYMI, here’s the 2013 60 Minutes interview with Jeff Bezos where he unveils Amazon’s delivery drone concept: https://youtu.be/-qOBm3Iwlzo

In this episode, Chris Caplice sits down with his MIT colleague and last mile transportation expert, Dr. Matthias Winkenbach. The duo discuss what it takes to build an effective last mile delivery strategy in urban areas with tactics such as: <ul><li>Multi-tier distribution</li> <li>On-demand delivery</li> <li>Drone logistics</li> </ul> Their discussion wraps up with what Matthias thinks will stick around in the transportation industry as a result of COVID-19. Inam Iyoob then joins Chris for the latest North American truckload market rate trends and forecast powered by <a href="https://www.dat.com/forms/sales-inquiry/freight-market-intelligence-consortium/" rel="nofollow" target="_blank">FMIC</a>.  [16:29] ICYMI, here’s the 2013 60 Minutes interview with Jeff Bezos where he unveils Amazon’s delivery drone concept: <a href="https://youtu.be/-qOBm3Iwlzo" rel="nofollow" target="_blank">https://youtu.be/-qOBm3Iwlzo</a>

Trends & Innovations in Last Mile Delivery | Matthias Winkenbach