The transportation industry is at a turning point. A full 70% of logistics leaders1 plan to use AI-powered automation to fuel growth, yet 84% admit the industry is still playing catch-up.2 Many are stuck with legacy systems built for a different era—stretched, patched, and now too fragile to trust. Ongoing industry challenges are making AI adoption a must. Driver and mechanic shortages cut into productivity and slow operations, while new compliance and sustainability regulations are reshaping how fleets move, report, and plan. Rising fuel costs, tariffs, and supply chain disruptions continue to squeeze margins, and siloed data across logistics, finance, and maintenance systems is limiting visibility and delaying critical decisions.