Grab, a superapp in Southeast Asia, has announced its collaboration with Amazon Web Services (AWS) as its preferred cloud provider.
This partnership aims to support Grab‘s technology-driven growth strategy across its diverse offerings, including mobility, deliveries, financial services, and digital banks.
Grab, with millions of users and driver-partners, requires a robust and scalable infrastructure to manage its high volume of transactions and data.
AWS’ cloud solutions provide Grab with the necessary tools to optimise operational costs, enhance security, and improve efficiency, including the use of AWS Clean Rooms for secure and privacy-preserving data collaboration.
Every second, Grab handles over 100 transactions, receives 500,000 GPS pings, and services 50,000 ETA requests.
The collaboration spans Grab’s operations across eight countries: Cambodia, Indonesia, Malaysia, Myanmar, the Philippines, Singapore, Thailand, and Vietnam.
Grab has migrated over 400 backend application services to AWS Graviton2 processors, achieving high performance while reducing costs and energy consumption.
AWS’ scalable infrastructure supports Grab’s expansion initiatives, such as the growth of its digital banks in in Singapore, Indonesia, and Malaysia
GX Bank in Malaysia, launched in under 16 months, has scaled rapidly to serve close to one million customers within its first year of operation.
The infrastructure also facilitates the introduction of new features such as Advance Booking and Group Order, enhancing user convenience and experience.
The partnership also enables Grab to meet the increasing demand for its services, ensuring a seamless customer experience even during peak periods, such as holiday sales spikes.
Grab processes over 200 terabytes of data daily—the equivalent of 200,000 full-length movies—on AWS.
This data supports its advanced analytics and machine learning (ML) initiatives, enabling the superapp to enhance customer experiences.
Furthermore, Grab leverages AWS’ advanced technologies to drive AI-powered innovation.
By utilising AWS’s compute infrastructure and machine learning capabilities, Grab enhances its services with features like personalised recommendations, fraud detection, and improved delivery guidance.
Grab’s machine learning platform, Catwalk, built on Amazon Elastic Kubernetes Service (Amazon EKS), has deployed over 1,000 AI models.
These models support innovations like tailored restaurant recommendations, loyalty rewards, and fraud prevention for its digital banks.
Grab uses large language models (LLMs) to enhance last-mile delivery guidance, providing drivers with precise drop-off instructions, enabling more trips per hour, and improving earnings.
Grab also uses AI to generate appetising food descriptions in five of its eight markets, improving order completion rates for smaller restaurants.
These features have boosted order completion rates, particularly benefiting smaller, unique merchants on the platform, enhancing their visibility and customer engagement.
“At Grab, our strategy for growth is anchored on constant innovation to outserve the needs of our users and partners.
This requires rapid experimentation, while ensuring security and stability, along with the ability to fully harness the potential of the latest tech like GenAI.”
said Suthen Thomas Paradatheth, CTO, Grab.
“By leveraging AWS’s unparalleled operational performance, scalability, and cutting-edge technologies, Grab is able to deliver personalised, seamless transactions to millions of users throughout the region.
As the leading cloud provider, AWS is uniquely positioned to help Grab optimise its price performance, boost operational efficiency, and continually evolve its broad suite of data-powered services.”
said Jeff Johnson, Managing Director, ASEAN at AWS.
Featured image credit: Edited from Freepik
