Case Study: a leading global car rental company achieves scalable fleet decision-making with Sparq

Critical Vulnerabilities Remediated for Global Car Rental Company

A major global car rental company was making costly fleet resale decisions manually across 100,000 vehicles each month, relying on manual judgment without a data-driven process. Sparq was engaged to re-engineer this critical workflow and unlock greater margin at scale.

Sparq embedded an AI decisioning engine directly into the company's inventory management workflows. This solution incorporated real-time condition, location, and market signals at the moment of each sell-vs-hold decision. By implementing this AI-driven system, Sparq provided a scalable, data-driven method to optimize resale timing and maximize vehicle asset value for the global mobility leader.