Aramex Successfully Tests Drone Delivery in Oman

Aramex Successfully Tests Drone Delivery in Oman

Pilot is part of Aramex’s 'Future Delivery Program' which aims to enhance last-mile delivery through autonomous drones and vehicles

Aramex, a leading global provider of comprehensive logistics and transportation solutions, today announced that it has successfully completed the pilot phase of its “Future Delivery Program” in Muscat, Oman.

The test flights were conducted in partnership with USA-based UVL Robotics, a technological leader offering cutting-edge drone-based solutions with AI for logistics.

The drone testing is part of Aramex’s “Future Delivery Program” aimed at leveraging the next generation of last-mile delivery solutions including drones and autonomous vehicles to boost delivery efficiencies, improve customer satisfaction, and generate cost savings in last-mile delivery.

In addition, the usage of drones is in line with Aramex’s commitment to the Science Based Targets initiative (SBTi) as it yields environmental benefits including a reduction in carbon emissions and traffic congestion.

This test is the first of a multi-phase program as Aramex embarks on its vision to fully transition its fleet to emission-free electric and hydrogen fuel cell vehicles.

The pilot focused primarily on testing a fully autonomous drone to deliver parcels safely and efficiently across various terrains, distances, and weather conditions in Muscat.

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Alaa Saoudi, Chief Operating Officer – Express at Aramex, said: “Rolling out the Future Delivery Program demonstrates Aramex’s market leadership in last-mile solutions in the region.

"We believe the next generation of last-mile solutions, including drones and autonomous vehicles, will be a game-changer as it ensures efficient delivery while being eco-friendly.

"Through the successful drone delivery testing with UVL Robotics, we have proven that these automated modes of delivery will enable us to further enhance the speed, accessibility, and reliability of package deliveries, especially to remote areas with hard-to-reach terrain.

"In addition, the program will support our sustainability ambitions to significantly cut our greenhouse gas emissions and reach carbon neutrality by 2030.”

Angad Singh, Global Director - Innovation of Aramex, said: “The autonomous drone technology provided by UVL Robotics could potentially cut transit times by half in complex routes, which means we can now add more value for our customers and consignees."

Moosa Al Balushi, Regional Director for UVL in the MENA Region, said: “We strongly believe that last mile delivery by drone is the important part of future logistics and one of key goals in business‘ sustainability strategy.

"Drones produce 26 time less CO2 emissions than cars, which has a positive impact on the region's ecology. Moreover, use of drones can significantly reduce operating costs and almost triple the time it takes to deliver a package to hard-to-reach locations."

Aramex plans to expand its drone delivery testing across the Middle East region, as well as other core markets where it operates.

To ensure a comprehensive evaluation, the Company plans to test a multi-modal approach that will include a combination of drones and other electric and autonomous vehicles for last-mile deliveries.

Aramex continues to invest in technology-driven solutions to optimize delivery routes, improve visibility of shipments, shorten delivery times, and enhance customer service.

In addition, the Company continues to make significant strides in accelerating its climate action goals and embedding sustainability practices across the business.

Since 2017, Aramex has been testing and adopting electric vehicles as a greener alternative to its fleet. Currently, its Jordan operations have deployed electric vehicles with continuous electric vehicle testing across Saudi Arabia, UAE, and Egypt.

Aramex plans to deploy an electric fleet across its core markets as a part of its wider sustainability mandate.

Read More: Aramex Selects Rand McNally's Connected Vehicle Platform

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