Today, even the trucking industry is being disrupted by artificial intelligence for digital load matching, driver improvement, and other freight and logistics functions. Other ways that AI provides impact includes automating preventative maintenance, planning optimal routes, and identifying the trucks necessary to maximize vehicle capacity.

Logistics providers are also using AI to analyze vast quantities of data to understand demands and patterns, determine the root cause for their stock loss or shrinkage, optimize their inventories and stock locations, and minimize any stock rebalancing issues across their network – all of which results in less inventory and lower vehicle expenditures.

Lastly, advanced analytics are being used to measure drivers themselves including their speed, braking, and steering so it can be matched to specific driving styles that correlate to mean-time-between-failure (MTBF) data. AI is also showing benefits in driver recruitment where it streamlines the selection process based upon success factors of top-notch employees resulting in a betterment of driver behaviors and improved training methods.