Infrastructure is a central element across transportation. The failure of critical equipment in the distribution chain or the deterioration of transportation infrastructure due to elements such as traffic, construction or environmental factors can induce significant problems. A single one of these problems can disrupt the supply chain, sending ripples through an organization.
AI can be used to better predict failures and craft a response that is tuned to expected system behavior over time. Using Machine Learning models, it is possible to run through multiple contingency plans and pinpoint the best way to tackle a potential disruption to the infrastructure, whether that be road deterioration or extreme weather.