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5/6/24, 3:02 PM Emaar, The Economic City signs agreement with Aramex to advance logistics sustainability in KAEC - MAAAL NEWS
AlSaleh, Vice Secretary General – Economic Cites at Economic Cities and Special
Zones Authority (ECZA); and Mansour Al Salem, the Managing Director of Emaar, The
Economic City, attended this ceremony.
By adopting a phased approach, both parties will implement various innovative logistics
solutions in multiple phases, with phase 1 entailing the deployment of Aramex Bot
deliveries in selected areas, such as Baylasan and Marina Areas, which will allow the
introduction of diverse technologies. This will contribute to enabling maximum
convenience, enhancing operational speed and efficiency, reducing cost, as well as
driving sustainability.
The agreement further includes
numerous provisions, all of which are
aimed at paving the way for green دﯾزﻣﻟا أرﻗا Asian shares track Wall St’s
logistics within KAEC, emphasising its advance fueled by cooler jobs
commitment to fostering innovation data
and sustainability. It provides Dollar steady after soft US jobs
numerous benefits for all the report; yen starts week on back
foot
stakeholders involved, including
improved environmental sustainability Global Project Management
and enhanced logistical capabilities.
The first multi-compartment robot used
for logistics operations, custom-
designed by Aramex through the support of its partner Ottonomy, allows for multiple
deliveries per trip, thus optimizing overall operations and paving the way for cheaper
delivery costs. Moreover, robot deliveries follow optimal routes, avoid traffic and
manoeuvre through congested urban areas with minimal disruption, significantly
improving delivery speed and efficiency. In addition, since Bots are electrically powered
and emit zero emissions, their integration would substantially lower carbon footprints.
Through the flexibility of scaling up and down the Bot fleet, it can additionally adapt to
both peak and off-peak seasons. It also complies with traffic regulations with the use of
advanced sensors and algorithms to efficiently identify obstructions and prevent
collisions.
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