Transportation Customer

Meet Our Client

Our client is a leading transportation company with decades of experience providing safe, reliable, and efficient transit solutions. Serving communities nationwide, they deliver a wide array of services, including public transit, commuter shuttle operations, and specialized transportation programs designed to meet diverse community needs. Their commitment to seamless, customer-focused transportation has established them as a trusted partner for public agencies, corporate campuses, and government organizations.

With a large workforce of skilled professionals, they emphasize safety, accessibility, and operational excellence, ensuring that every passenger enjoys a smooth, dependable journey. By integrating innovative technologies and adapting to evolving mobility demands, this organization has consistently enhanced the quality of transit services for the communities it supports.

Their Challenge

Persistent turnover in key operational roles had far-reaching consequences. Constant hiring and training cycles drained resources and diverted attention from core mission goals. Without a reliable method to predict and address retention issues, the company faced increasing pressure to maintain service quality and uphold safety standards. They sought a modern, data-driven solution to identify the right candidates and keep them longer.

CloudFactory stepped in with a comprehensive AI Solutions Engagement service tailored to address these challenges. By leveraging historical employee data, we developed a predictive attrition model designed to:

• Rank Candidates: Identify and prioritize candidates with traits indicative of high retention.
• Flag At-Risk Employees: Enable proactive retention strategies by highlighting potential turnover risks.
• Offer End-to-End Support: From data aggregation and feature engineering to model deployment and continuous monitoring, our full-service approach ensures the solution remains effective over time.

This data-backed, predictive model has not only empowered the client to make more informed hiring decisions but also contributed to a projected annual savings of $1 million, improved employee retention, and enhanced overall operational efficiency and safety.

The Results

CloudFactory helped a major transportation company achieve significant gains in hiring efficiency and retention, driving improvements in workforce stability and operational effectiveness.

Key areas:

Improved retention rates: Through the predictive attrition model, the client was able to identify candidates more likely to remain in their roles long-term, leading to better retention and fewer resource-intensive hiring cycles.

Cost savings: With more informed hiring decisions and reduced turnover, the company projected annual savings which could be redirected toward other strategic initiatives.

Increased operational efficiency & safety: A more stable and well-matched workforce resulted in fewer disruptions, streamlined operations, and improved safety standards, enhancing both employee satisfaction and customer experience.