Drivers to Operators? Autonomy in The Commercial Trucking Industry



Autonomy in Trucking Industry is providing solutions that will transform the logistics industry

Autonomy in Trucking Industry is considered the next big horizon. Experts predict that the pressure on the supply chain in recent years will lead to innovations, thanks to technologies such as AI, IoT, advanced data analytics, and machine learning. With the Covid19 Pandemic’s Economic Pressure Cooker, the need for such a solution is becoming increasingly apparent.

Long-working truck drivers face increased health and safety risks, and their supply chains rely on faster, more traceable delivery methods. For example, logistics and car giants like Amazon have invested millions of dollars in the most obvious solution of self-driving trucks. These investments have dominated the news, from the fear of potential unemployment to expectations for a digitally-enabled future. However, experts believe that the widespread commercial deployment of long-range autonomous trucks may still be decades away.

There is widespread interest in self-driving trucks, but this is just the tip of the iceberg in terms of the potential for autonomy to improve the efficiency of the entire supply chain. As a truck driver-centric market and end-to-end logistics solutions, understand the nuances of technology vendor knowledge needed across the industry. Trucking professionals continue to require human intervention, and areas such as transportation, port operations, and fleet management offer faster opportunities for modernization.


Identifying Critical Pain Points 

To improve the efficiency and operation of the truck industry, technology providers must first understand and identify the issues and where the limits of the human mind offer the opportunity to improve efficiency through autonomy. The challenge at the port is the organization of shipyard areas or container storage. Containers are constantly coming and going, and depending on your content and business, you need to meet your specific needs. Other complex factors, such as stacking containers and a surge in pandemic-related demand, make this a mentally burdensome task.

Shipyards are usually managed by a single employee and are organized in a simple way to control operations as large numbers of containers enter and leave the port. However, automated programs can record driver appointments, determine availability, and prioritize container movements in real-time. This is one area of ​​the supply chain where autonomy can reduce some of the tedious work. The same problem occurs with the dispatcher’s operation when the container hits the road. The human dispatcher is responsible for tackling a problem commonly referred to as the traveling salesman problem. Dispatchers face the challenge of finding the most efficient route for containers and drivers to reach multiple destinations on time.

Disposal is the point where complex elements intersect between the port and the last mile, and the mental logistics of coordinating location and luggage is very burdensome. For example, an experienced dispatcher can ship 100 packages per day. An automated program or “Robo dispatcher” may be able to perform the same function 100 times faster and more accurately.


Barriers To Adoption

Traditional methods such as manual scheduling, pen and paper reporting, or telephone have historically dominated the truck industry. As this reality changes, technology providers are faced with potential unemployment concerns as a result of autonomy and realistic expectations for the effectiveness and reliability of these solutions. This is a general criticism of self-driving trucks. Consider the example of Robodispatching. Drivers and dispatchers often have work relationships that go beyond the basic function of matching loads and routes. The coordinator builds trust with the driver and considers personal preferences that go beyond price and price.

Some ports and routes take precedence over the driver. Dispatchers can weigh their strengths and weaknesses, troubleshoot port issues, and provide personal work relationships that are often rare in lonely truck professions. Existing technologies, such as automatic transshipment solutions that help drivers identify nearby packages, set the opposite precedent. They often consist of remaining packages that need to be transported, unwanted packages, or low-value packages.

Therefore, the success of autonomy lies in the ability to combine human touchpoints and efficiencies, which are of paramount importance to drivers and careers. By automating the elements of technically demanding work, such as route matching and dispatch with room for human monitoring, the industry can build trust and overcome skepticism about automated technology.


What An Automated Future Looks Like In The Real World

autonomy can mitigate these types of problems, make the underlying process more efficient, and give employees the mental ability to manage operations at each stop along with the movement of the container. autonomy opportunities continue to drive the truck industry into a more digital future, and technology providers taking advantage of these advances offer benefits such as increased efficiency, streamlined operations, and overall cost savings.


Must see news