For the average American, as of 2018, the longest acceptable wait time for a delivery is 4.5 days. Free shipping is a major factor in purchasing decisions. Major retailers like Amazon and Walmart offer one or two-day shipping options. With such high demand for things to move from one place to another faster, the pressure for efficiency in the transportation sector is high.
As a result of the increased need for efficiency in transportation, the job market for logistics-oriented careers is healthy. With a projected growth rate of around 7 percent and above average opportunities for upward advancement, logistics training is beneficial to those in the industry.
Training for Future Advancements
Approximately 65 percent of high-level workers in the transportation industry think logistics, supply chain and processes are about to revolutionize the sector. They foresee big data, satellites, and artificial intelligence being used to make transportation much more precise, improving supply chain efficiency so that retailers and consumers alike can experience the faster turn-around times they demand. This is why it is smart for companies to invest in such skills in their training programs.
One of the top skills needed in the transportation and logistics industry is the ability to solve problems using data and analytics. Increasingly, this means that people in the transportation industry need a higher-level understanding of technology, especially automation and artificial intelligence (AI) Training for the transportation jobs of tomorrow, especially involving the implementation of technology, requires both classroom and hands-on experience.
How Technology is Expected to Change the Transportation Industry
As trainers in the transportation industry anticipate needed job skills, it is important to understand that employees will need to grasp new concepts and the potential of technology.
For instance, AI in the industry can currently help those who know how to use it to analyze the best routes or track maintenance routines or driver behaviors through electronic logs.
But, in the near future, similar AI may help logisticians optimize space based on the unique qualities of items being shipped or the best time to travel based on satellite data and extensive, automated analytics.
Skills like the ability to track inventory and calculate used to be necessary for employees in the industry. Since AI and other technology is taking care of these tasks (while enhancing efficiency and accuracy), staff are better off trained to:
- Understand how to input, run, and interpret data and analytics
- Explore and fine-tune the potential of technology and data
- Implement the creative, thoughtful element of logistics that AI cannot
- Use new technology like truck-platooning, next-gen GPS, or eco-friendly transportation types
The Future of Other Transportation-Related Sectors
According to innovative car makers interviewed at CES 2017, the use of AI in the automotive industry is opening up the possibility for different kinds of public transportation.
Self-driving cars, for instance, that could be used and shared by the public, might allow for efficient, safe, inner-city travel. Driverless trains, trucks, and buses, as well as public transportation management systems, are also projected. These new types of transportation would create new kinds of management, logistics, and maintenance job positions.
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