CASE STUDY transformation at every stage of the journey and have already been able to use the cloud infrastructure to support their systems throughout the pandemic ,” he said . “ As a result of growing customer expectations , we are strategically focusing on transforming the end to end experience with an emphasis on last mile visibility and predictive analytics , empowering customers with a next generation engagement experience and a robust layer of digital touch points .”
He pointed out that 60 % of Aramex ’ s business today comes from e-commerce customers . “ We connect markets from various regions including China , US and Europe into our core markets , where we have the biggest last mile infrastructure . We are continuing to see consistent growth in e-commerce even through the pandemic , which has accelerated the growth of the sector ,” he noted . “ We want to take the next step of application modernisation to help us in our goal of improving the last mile process and customer experience . Through working with Rackspace Technology , we have expanded the scope of the project to support in modernising our application portfolio . Both teams are working collaboratively to design a reusable application architecture that will enable us to build cloud-native applications , both repurposing those already in operation and to support new applications in the future . This complex architecture must also support interactions with our existing on-premise applications during the migration process , when both systems must work in unison .”
Mahesh Desai , Chief Relationship Officer , Rackspace Technology , said : “ Aramex embraces diversity and sees it as one of its key differentiators in the market . Mohammed and the team were interested in working with a technology partner who could provide them with different expertise and experience beyond that of their internal IT team . We have a clear track record of success , with great references in the Middle East and beyond . As we embarked with Aramex on the next step in its technological transformation , it became clear there was a natural chemistry between the teams .”
Desai added that : “ We were about eight weeks into the project when the COVID-19 pandemic forced the teams to work remotely . While there were some initial concerns about the practicalities of operating in this way , we were able to successfully redistribute the workload and change the governance and product plan in light with the current requirements .”
He said the team continued to hold workshops remotely with AWS and stakeholders across Aramex – from departmental heads , to architects and developers – which not only enabled the project to progress according to plan , but supported the overarching objectives for the cloud transformation to catalyse business change .
“ Aramex wants to ensure that the cloud applications are native to the cloud environment , so in the next stage of the project we will be working closely with them on the modernisation of their extensive application portfolio , including many Microsoft . Net applications ,” he said . “ Working together , we are developing a new cloud-based architecture that will be reusable across Aramex ’ s 60 + applications , while also ensuring that the wider portfolio of applications will continue interacting with the new cloud-based solution as if it were the original , on-premise application .”
Aramex ’ s Sleeq said the data centre transformation journey that the company has undertaken is enabling the IT team to begin exploring how cloud-based Machine Learning models could advance the company ’ s logistics and transport processes on the ground . “ In our data lake , we now have around 10.2TB of data powering five to six Machine Learning use cases on the cloud . This generates over 450,000 predictions per day – each of which is generated in just 1.1125 milliseconds . With more than 10 million history tracking records generated every day , the deployment of microservices in these Machine Learning models will help automate more processes to drive greater efficiencies that help us optimise performance and cost ,” he said .
“ Our growth and success has been down to our constant dedication to customers and understanding the important role that technology innovation plays in ensuring that we are always able to deliver against their changing expectations . We are confident that with our new agile cloud infrastructure , we will be able to further align our innovative culture to customer demand to help retain our position as the preferred partner in our core markets .” p
IN OUR DATA LAKE , WE
NOW HAVE AROUND 10.2TB OF DATA POWERING FIVE TO SIX MACHINE LEARNING USE CASES ON THE CLOUD .
THIS GENERATES OVER 450,000 PREDICTIONS PER DAY – EACH OF WHICH IS GENERATED IN JUST 1.1125 MILLISECONDS .
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