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Moving Forward: The Critical Need to Support Truck Drivers

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Moving Forward: The Critical Need to Support Truck Drivers

“Disruption” may have been 2020’s word of the year. Both the coronavirus and the economy impacted lives, leaving no industry untouched. When the nation’s GDP hit bottom in Q2 2020, it essentially wiped out any economic gains generated over the previous five years.

While the trucking industry was affected by logistics and supply chain issues and personnel shortages last year, many analysts have predicted a strong recovery. Since mid-year last year, freight demand has continued to regain its momentum. Trucking companies still face several challenges, however, the greatest of which is its long-standing struggle to recruit, train, and retain enough professional drivers to meet demand.

The economy’s recovering — but driver shortages remain

According to the latest ATA survey on driver turnover, rates:

-Fell to 87% in Q1 2021 from 90% in 2020 at large for-hire truckload carriers ($30M+ annual revenue).

-Increased from 69% to 72% at small truckload carriers.

-Increased to 18% from 13% in the less-than-truckload (LTL) sector.

American Transportation Association (ATA) chief economist Bob Costello said, “While the driver shortage temporarily eased slightly in 2020 during the depths of the pandemic, continued tightness in the driver market remains an operational challenge for motor carriers and they should expect it to continue through 2021 and beyond.”

Even though the market is in an upturn, ATA’s most recent survey found carriers reluctant to grow their fleets. Fleet sizes have decreased 6% for large carriers, 4.9% for small carriers, and 0.9% for LTL.

In the American Transportation Research Institute (ATRI)’s Critical Issues in the Trucking Industry 2020 report, respondents recommended several strategies to help strengthen the trucking and fleet sector. One strategy includes repealing or reforming ineffective, burdensome regulations negatively impacting the trucking industry. For example, most in the industry have favored adaptations of the Hours-of-Service (HOS) rule.

In 2020, the top HOS strategist advocated for additional flexibility in the sleeper berth provision, allowing a 7-3 split of hours. The U.S. Department of Transportation (DOT) has continued exploring whether to modify HOS rules for highly automated trucks, while the Federal Motor Carrier Safety Administration (FMCSA) is conducting research to “increase understanding of the human factors and address specific areas such as driver readiness.”

DRIVE-Safe Act

This bipartisan legislation could help to address the looming driver deficit, which is projected to reach 160,000 or more by 2028. Continued growth in freight demand combined with anticipated retirements could result in the industry needing to hire 1.1 million drivers over the next 10 years — or almost 110,000 drivers each year.

The DRIVE-Safe Act introduces a rigorous two-step apprenticeship program. It would allow younger drivers (between ages 18 and 20) to apply and train to drive trucks. Candidates complete at least 400 additional training hours, and an experienced driver would accompany apprentices on the road. These drivers-in-training would be required to drive trucks equipped with the latest transportation management software and safety technology like:

-Active braking collision mitigation systems.

-Forward-facing event recording cameras.

-Speed limiters set at 65 MPH or less.

-Automatic or automatic manual transmissions.

Meeting demand

The trucking industry continues working to meet demand. 2020 saw a 36% increase from 2019 in the number of entities (almost 58,000) to which FMCSA granted carrier authority. But the pandemic has lengthened the time needed to train and license new drivers. An additional 54,000 drivers became ineligible once the new FMCSA Drug and Alcohol Clearinghouse launched last year.

One solution to attracting and retaining more drivers includes increasing pay, which has increased dramatically recently. Fleets of all sizes now offer rolling pay increases and even signing bonuses of $10,000 or more. Ironically, pay increases may be contributing to the driver shortage, because some drivers earning more have chosen to drive fewer hours.

While long-haul trucking jobs have high turnover rates — a metric many point to as the reason for the driver shortage — this trend wasn’t caused by high employee dissatisfaction but rather the drivers themselves bouncing between companies.

Attracting (and keeping) drivers

Trucking companies and fleets have turned to a variety of strategies to combat the driver shortage, including increased pay and sign-on bonuses. But it isn’t just higher salaries. Drivers want more control over their workdays and environments. One tactic to help drivers achieve the balance they desire? Workflow software and route optimization.

Technology adoption has driven efficiency gains within the trucking industry as more trucking companies have embraced digital transformation. It isn’t just shifting office staff from in-person to remote work or using video conferencing to communicate. Fleets use data analytics to improve utilization. Contactless payment systems and electronic bills of lading have reduced touchpoints and friction.

Trucking software helps fleets more efficiently track drivers, manage dispatch records, monitor interstate fuel tax agreement (IFTA) reports, optimize driver routes, pay invoices, save fuel costs, track vehicle maintenance records and more.

Fleet management platforms also help drivers work smarter, not harder. The cloud-based software and accessible data allow fleet managers to analyze information for insights to optimize driver workflow. Mobile ELD and workflow solutions empower drivers to more effectively manage work processes and routes, setting them up for success by taking the guesswork out of compliance and reducing frustration, uncertainty and inaccuracy.

Truck drivers are essential workers and critical for sustaining a functioning economy. The pandemic highlighted not just their importance, but the importance of the transportation and supply chain industries, too. As the pandemic ebbs, the world rebalances and the economy continues its recovery, fleets and trucking companies will continue to make their deliveries and transport goods from coast to coast.

Implementing the tools of digital transformation — like driver workflows and other fleet management software — will prove to be another useful tactic for attracting and retaining drivers, ensuring their safety, and empowering drivers to simplify their daily workload and operate more productively, while still achieving high-performance standards.

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Avi Geller is the founder and CEO of Maven Machines. Since 2014, Avi has led Maven’s growth as an IoT platform that serves the transportation industry through real-time, mobile cloud enterprise software. Avi originally hails from Palo Alto, California, but started Maven in Pittsburgh, Pennsylvania due to the city’s impressive innovation and technology resources. Prior to founding Maven, he held international positions with SAP and contributed to the growth of several successful software companies and startups. Avi also has an engineering degree from MIT and an MBA from Northwestern University.

Trucking Industry solvento

Artificial Intelligence: The Trucking Industry’s Biggest Asset

About 3.6 million professional truck drivers and another 7.95 million people work in the U.S. trucking industry. It’s an industry well-positioned to benefit from artificial intelligence (AI) technology.

Research firm MarketsandMarkets estimates the AI market within the transportation industry will grow at a compound annual growth rate of almost 18% between 2017 and 2030, and its size increase from $1.2 billion in 2017 to $10.3 billion in 2030.

Truck manufacturers including Daimler, Volvo, Navistar, Paccar and others, have already begun developing autonomous truck technology, for example. Waymo, an American autonomous driving technology development company has also installed self-driving technology in semi-trucks and plans to test on haulage routes in New Mexico and Texas. Tesla plans to deliver its first trucks in 2021. Pittsburgh-based Locomotion, an autonomous trucking technology company, expects to equip at least 1,120 Wilson Logistics tractors with its Autonomous Relay Convoy (ARC) technology starting in 2022.

In addition to autonomous driving, the trucking industry has the potential to reap many benefits from AI technology in accident prevention and safety, fuel efficiency, route optimization and workflow management.

Accident prevention and safety

One hundred percent autonomous driving may be a ways off, but already we’re seeing safety controls incorporated into trucks. For example, a Tesla computer will control its trucks’ semi-autonomous system for accelerating, brakes and steering — though drivers will still need to keep a hand on the wheel.

The Federal Motor Carrier Safety Administration (FMCSA) revised its HOS to provide more flexibility for drivers. However, many drivers still log 11 hours on the road each day — the potential for mistakes increases during the later period of a driving shift. AI-guided semi-autonomous trucks will help reduce safety hazards created from tired or distracted driving.

Fuel efficiency

One commercial truck can use over $70,000 of fuel each year. Multiply this amount by the number of trucks in a fleet, and you can see why trucking companies constantly search for strategies to improve fuel efficiency. AI-guided, self-driven trucks could cut fuel costs up to 15%, according to Plus (formerly Plus.ai). A U.C. Berkeley Labor Center report estimated the industry could save $35 billion in fuel efficiency gains. Additionally, fuel monitoring and idle reporting features within AI-powered fleet management software platforms can help managers monitor fuel usage to reduce waste and costs.

Fleet management and route optimization

AI offers the perfect partner for fleet managers, increasing their effectiveness and helping to streamline and make processes more efficient. For example, these technologies can detect patterns humans might miss, increasing productivity by more accurately pinpointing which drivers to assign certain loads.

Route optimization benefits from AI, too. The technology streamlines route optimization, minimizing drive time and mileage by enabling fleet managers and drivers to find the most efficient, quickest order to schedule stops. AI can process traffic patterns and use algorithms to predict delays, even alerting dispatchers and managers earlier to facilitate load rescheduling or driver rerouting.

Drivers, fleet managers and customers benefit from AI-driven software capable of using real-time data about traffic, weather, and historical data on transit times to provide more accurate ETAs. Because AI constantly evolves, route optimization will become even more streamlined.

Workflow technology

The trucking industry has already benefited from many technology solutions designed to increase productivity and efficiency.

Drivers and fleets can use AI — together with cloud computing, machine learning (ML) and IoT — to move from paper management to digital management processes. Other technology has enabled fleets to identify customers affected by import tariffs, for example, and connect with those customers to develop mitigation strategies.

AI doesn’t just observe data or patterns. It’s capable of predicting potential scenarios based on past patterns. Workflow and fleet management software incorporating AI technology can help drivers and fleet managers with real-time navigation, data monitoring and predictive maintenance alerts. The future of AI within the trucking industry could include other businesses like capacity-as-a-service, predictive on-demand maintenance and shared insurance optimization.

AI’s future in the trucking industry

CB Insights reported that investors dedicated $2 billion to trucking tech startups in spring 2019. The transport and logistics sector represents $26 billion of total startup funding in the logistics industry.

Artificial intelligence has already begun to deliver on its promise to increase productivity, reliability, safety and sustainability within the trucking sector. While not a turnkey solution, AI technology relies on human knowledge to understand what to do. AI won’t replace people — it will reshape their roles and improve their work processes. AI is revolutionizing the trucking industry and promising to not just drive efficiency, but also better experiences for fleet management, drivers, customers and other critical stakeholders.

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Avi Geller is the founder and CEO of Maven Machines. Since 2014, Avi has led Maven’s growth as an IoT platform that serves the transportation industry through real-time, mobile cloud enterprise software. Avi originally hails from Palo Alto, California, but started Maven in Pittsburgh, Pennsylvania due to the city’s impressive innovation and technology resources. Prior to founding Maven, he held international positions with SAP and contributed to the growth of several successful software companies and startups. Avi also has an engineering degree from MIT and an MBA from Northwestern University.

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Digital Trends for the Trucking Industry in 2021

The first quarter of a new year is a great time for fleet leaders to reflect on how their current plans for the year are going and then adjust accordingly if needed. What’s working for you? What should you stop doing? What should you start doing?

For the trucking industry, one trend for 2021 is clear. Digital is the way forward. While fleet management software has been on the scene for a few years, some parts of the supply chain still rely on analog processes and clunky, legacy solutions. The pandemic added additional stress in the logistics industry, largely due to volume fluctuations, and highlighted the need for better technology that will help drive more efficient logistics operations.

Automation

A specific growth area of trucking technology is the adoption of solutions that use AI and ML for automation. AI-powered, cloud-based solutions for route optimization will take some of the headache out of a route planner’s job by helping planners match the right driver and load with the best route. Route optimization tech can deliver an optimized route for the driver in just a few clicks.

By adopting automated route planning and optimization software, planners will then be able to focus on exceptional cases, while still being able to adjust routes manually if needed.

Data and analytics

A positive byproduct of digital transformation and technology adoption is increased access to data. Despite data making its way into nearly every industry to optimize workflow, improve business processes, and increase revenue, only 23 percent of fleets use data to inform decision-making. Because of the heavy demand for drivers and fleets, especially due to the current qualified driver shortage, fleets need to leverage AI, driver-specific metrics, and cloud management software to create more informed and productive drivers and plans.

Fleets have not always utilized data and analytics to their advantage. Fleets can now leverage real-time, cloud-based software and data to decrease planning time and optimize operations so that drivers can make more deliveries in less time. The demand for real-time visibility and on-time pickups and deliveries by shippers and receivers is only increasing, and the bar for fleets to compete successfully is getting higher.

Digital transformation

Fleets across the spectrum, from truckload to LTL and final mile, need technology solutions to work as efficiently as possible to empower their planners, drivers, and managers, from anywhere, at any time. They need to move to the cloud for enhanced communication, security, and access to data. As a result, fleets can rise above the competition if they optimize fleet management and workflow solutions and implement software to improve decision-making.

Automation, data visibility, and cloud-based digitization in the trucking industry wouldn’t be possible without a strategic decision by fleet leadership to prioritize digital transformation solutions. Digital solutions are required to best enable all parties in the supply chain, and fleet leaders need to pave the way with tech adoption. With the power of AI, machine learning, and cloud-based software, fleets will run faster, more efficiently, and more profitably than ever before.

__________________________________________________________________

Avi Geller is the founder and CEO of Maven Machines. Since 2014, Avi has led Maven’s growth as an IoT platform that serves the transportation industry through real-time, mobile cloud enterprise software. Avi originally hails from Palo Alto, California, but started Maven in Pittsburgh, Pennsylvania due to the city’s impressive innovation and technology resources. Prior to founding Maven, he held international positions with SAP and contributed to the growth of several successful software companies and startups. Avi also has an engineering degree from MIT and an MBA from Northwestern University.