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Key variables can be analyzed using machine learning to predict a driver’s risk of leaving a company, and insights from those data points can provide — and prescribe — recommendations on what type of intervention is needed, says Chris Orban of Trimble.

The year 2018 was a record one for freight markets. So what does 2019 have in store? Bob Farrell of GlobalTranz has some thoughts.

Methods such as Statistical Process Control, Lean and Six Sigma have been in use for decades, helping manufacturers maximize the efficiency and reliability of their processes. But when it comes to complex, global supply chains, a lack of data has limited the effectiveness of these tools.

Artificial intelligence and automation could someday disrupt major sectors of the global economy, including trucking. While much is said about how automated operation could help mitigate the driver shortage, many developmental challenges remain before wide deployment of Class 8 trucks can be realized.

Don't let FOMO, or fear of missing out, push your business into blockchain technology, advises Ken Craig of McLeod Software.

Blockchain could serve as the much-needed replacement for the industry's legacy electronic data interchange system, updating supply chain logistics for the digital and big-data age and tackling the nation’s congestion problems in the process.

For interstate carriers, allowing younger drivers to earn a CDL would vastly widen the pool of drivers and limit the loss of candidates to other careers. And that’s why some legislators are seeking a solution.

Fuel is often one of the first considerations in calculating annual expenses. According to the American Transportation Research Institute’s 2017 Analysis of the Operational Costs of Trucking, nearly 40% of operating costs are derived from fuel alone.