Aramex AI data infrastructure launched on February 25, 2026, establishing a unified platform across the company’s operations in over 70 countries. The logistics provider deployed a Lakehouse architecture on Google Cloud to consolidate data from its global network.
The platform creates a single source of truth for the company’s operations, connecting last-mile delivery systems with corporate strategy functions. The architecture addresses data residency requirements across multiple jurisdictions where the company operates.
Technical Architecture and Implementation
The company transitioned from legacy infrastructure to a modern Lakehouse system. The deployment follows a phased strategy to maintain operational continuity as it expands across Aramex’s network of 600+ cities.
The platform prioritizes three operational elements: high-velocity data processing, organizational agility for market adaptation, and real-time analytics for decision-making. The system is designed to handle complex regulatory requirements across diverse markets.
Executive Statements on Strategic Direction
“Data is the fuel that powers modern logistics, but its true value lies in how it is harnessed. By building this AI-first Lakehouse architecture, we are not just modernizing our technology; we are enabling our teams to predict, adapt, and deliver faster than ever before.”
Françoise Russo, Chief Technology Officer at Aramex
Ziad Jammal, General Manager for Google Cloud in the UAE, Levant, and North Africa, stated the infrastructure provides the foundation for automated decision-making capabilities.
Operational Scope and Business Context
Aramex operates in over 70 countries with more than 16,000 employees. The company, listed on the Dubai Financial Market since 2005, provides services across four business segments: International Express, Domestic Express, Freight Forwarding, and Logistics & Supply Chain Solutions.
The data platform supports the company’s operations across International Express services, including its Shop & Ship and MyUS parcel forwarding businesses. The system integrates with existing logistics and supply chain infrastructure.
Future Outlook and Sustainability Goals
The company targets carbon neutrality by 2030 and net-zero emissions by 2050. The data infrastructure is positioned to support these environmental objectives through operational optimization and resource management capabilities.
The platform deployment represents a component of the company’s long-term technology strategy. The architecture is designed to accommodate future expansion and evolving regulatory requirements across international markets.