Use-Case Prism: Artificial Intelligence for Transportation
AI is reshaping transportation. It enables service improvements via predictive and more reliable data-driven ETAs. It’s eliminating delivery complexities by ensuring address accuracy. Using advanced analytics, AI is improving rider retention and capacity planning. Reducing logistics costs by intelligently optimizing routes is another critical advantage it’s delivering among many others. But application of AI depends on a business’ unique challenges, customer experience and growth strategies.
In this report, Gartner® evaluates 18 popular AI use-cases within the transportation sector, assessing them based on key metrics such as business value and feasibility. By delving into this report, you can gain a clear understanding of
• which use-cases are highly likely to yield substantial benefits
• which ones might involve calculated risks
• which may only provide marginal gains compared to the resources invested.
Make sure you're steering your organization in the right direction when it comes to AI in transportation by accessing this report.
