Case Study: a global logistics carrier improves reserve crew planning and cost control with Sparq

Application Modernization Helps Large Logistics Company Achieve Aggressive Growth Goals

Global Shipping and Logistics Company faced a challenge in manually planning for costly reserve flight crews, which lacked a measurable accuracy baseline for allocation. This process hindered their cost control and operational precision. They engaged Sparq to address this issue.

Sparq built an AI-driven probability model on Google Cloud Platform using BigQuery to forecast reserve crew needs and benchmark performance against real outcomes. This solution created a data-driven path for the global logistics carrier, enabling them to optimize standby staffing and control long-term crew costs effectively.