Roboost and PetroApp Partner to Combat Logistics Fraud in Egypt & Saudi Arabia

Roboost and PetroApp Partner to Combat Logistics Fraud in Egypt & Saudi Arabia

Jun 25, 2025

Cairo, Egypt - [25/6/2025] – Roboost, a leading provider of AI-powered Transportation and Logistics Management Solutions, and PetroApp, a solution that enables businesses to reduce and control fleet fuel consumption. Together, they're giving businesses the tools to eliminate fuel fraud, fake deliveries, and prevent costly logistical errors. While also providing operation teams with accurate data across Egypt and Saudi Arabia.

This strategic collaboration is designed to empower businesses with comprehensive fleet control. By addressing multiple types of fraud, fuel misuse, manual errors, and operational inefficiencies, to deliver real, measurable value that helps businesses protect their margins and optimize performance.

By combining Roboost’s full operational automation with PetroApp’s secure fueling network, businesses gain unmatched visibility into fleet performance and fuel usage. Through a fully digital, system-driven approach that replaces guesswork with insight, manual processes with automation, and blind spots with precision.

 

“With full visibility into fleet behavior and resource usage, we’re closing the gaps that lead to revenue leakage, from untracked fuel consumption to poor route planning and optimization,” said Mohamed Gessraha, CEO of Roboost.“This partnership gives businesses the tools to act fast, stay in control, and protect their margins.”

 

Businesses using PetroApp’s fuel management system have already reported up to 20% savings on fuel consumption, while Roboost’s full automation continues to drive up to 30% reductions in overall delivery operational costs.

This partnership plans to go beyond tracking operations, and delve deeper by turning data into a real business advantage. With this joint solution, fuel data becomes part of a bigger picture; understanding rider behavior, optimizing trips, and securing profitability at scale.

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