How AI-Based Recommendations Help Skilled Fleet Workers Excel
Artificial intelligence (AI) has slowly woven its way into many aspects of our modern lives. Just ten years ago, most of us relied on paper maps for directions, and we performed laborious internet searches to find a store or restaurant that had what we were looking for. Now we can simply pull out our phones or shout to our smart speakers to instantly get detailed, personalized recommendations.
Today, AI-based recommendation engines are bringing the same level of convenience, accuracy, and speed to the transportation and mobility industry, making the transport of goods and people more agile, more resilient – and safer. Given the rapid adoption of smart fleet management solutions powered by AI, Grand View Research estimates that this industry will be worth $565.1 billion by 2025.1
Whether the fleet is intercity trains, school or city buses, taxis, long-haul or short-haul trucks, or another mode, the challenges are similar: delays due to unexpected weather or road conditions, ineffective or unnecessary repairs, siloed data that prevents you from optimizing your fleet’s maintenance, and staff shortages due to an aging workforce, to name a few. Not only do these challenges increase the fleet’s operational costs, the delays they create can bring your fleet to a crawl.