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Case Studies > How US Xpress is Leveraging AI to Transform Recruiting and Create a Powerful Advantage in a Hyper-Competitive Industry

How US Xpress is Leveraging AI to Transform Recruiting and Create a Powerful Advantage in a Hyper-Competitive Industry

Technology Category
  • Analytics & Modeling - Machine Learning
  • Application Infrastructure & Middleware - API Integration & Management
  • Functional Applications - Remote Monitoring & Control Systems
Applicable Industries
  • Transportation
Applicable Functions
  • Human Resources
  • Logistics & Transportation
Use Cases
  • Fleet Management
  • Predictive Maintenance
  • Remote Asset Management
Services
  • Software Design & Engineering Services
  • System Integration
The Challenge
US Xpress, a major player in the long-haul trucking industry, faces a significant challenge in recruiting qualified drivers. The industry is highly competitive, with a small candidate market and a general distrust of technology among potential recruits. The talent crisis is exacerbated by the growing demand for logistics services and a dwindling number of young people seeking careers in trucking. The American Trucking Association reported a 20% increase in the talent gap in 2018, resulting in 60,000 fewer drivers than open opportunities. US Xpress needed to find a new way to attract and retain drivers to stay competitive.
About The Customer
US Xpress, founded in 1985 and based in Chattanooga, is the fifth-largest asset-based truckload carrier in North America. The company has experienced significant growth, even during the global COVID-19 pandemic, by making strategic investments in automation and AI. As an essential business, US Xpress continued to hire aggressively while other companies were laying off staff. The company's focus on people and customer satisfaction, combined with creative use of technology, has driven its digital transformation and operational efficiency. US Xpress aims to create a powerful advantage in the hyper-competitive long-haul trucking industry.
The Solution
US Xpress piloted a 'digital fleet' of trucks that are largely recruited, planned, dispatched, and managed using artificial intelligence and digital platforms. This initiative started as a conceptual hypothesis but quickly evolved into a significant part of the company's operations, with over 400 trucks currently part of the digital fleet. In April 2020, US Xpress partnered with Paradox to transform the driver recruiting experience. They implemented conversational assistive intelligence to create a mobile-first, seamless, and fast hiring process. The AI assistant can deliver recommended positions, capture candidate information, screen candidates in real-time, and automatically schedule interviews through API integration with other software platforms. This approach has dramatically simplified the candidate journey and reduced the burden on the recruiting process.
Operational Impact
  • 35% of candidate interactions occur on nights or weekends, times when candidates typically wouldn't have the option to interact with a recruiter.
  • The majority of candidates now apply via a mobile device, a critical differentiator in a market where most candidates are always on the move.
  • 38% of candidates who start a conversation with the AI assistant convert into applicants.
Quantitative Benefit
  • 35% of candidate interactions happen on nights or weekends.
  • 38% of candidates who start a conversation with the AI assistant convert into applicants.
  • Qualified applicants are scheduled for an interview in less than 3 minutes.

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