GetGo uses AWS to scale on demand, automate claims and invoice processing, and deliver near real-time fleet intelligence

The car-sharing market in Singapore is highly competitive, with several major companies operating in the city-state. GetGo understood from the outset that its business model would generate highly variable demand patterns, with fleet usage surging sharply on weekends, public holidays, and during major events while remaining relatively lower on weekdays. Recognizing that success in this market requires flawless performance during peak periods—when any platform instability could immediately drive users to competitors—GetGo built its infrastructure to handle these predictable demand spikes from Day 1.

GetGo also designed its platform to ingest and analyze diverse data types, including vehicle telemetry, payments, customer feedback, transactional records, and near real-time event data. This strategic approach maintains high service quality through proactive fleet maintenance, using customer feedback and telemetry data to identify vehicles needing servicing. The platform also automates insurance claims processing to deliver fast reimbursements that customers expect.

GetGo used AWS to build competitive advantages in Singapore’s car-sharing market, scaling to support half a million users across 3,000 vehicles and 1,700 locations with near-zero major downtime during peak periods. Working with AWS, GetGo was also able to easily move from a monolithic architecture to a microservices architecture as it scaled, transforming its infrastructure to optimize for Singapore's variable market demands while reducing its engineering team's infrastructure management time from 50 percent to just 10 percent.

The car-sharing company utilized AWS Lambda, a serverless compute service, to automate fleet data processing and workflows. AWS Lambda handles near real-time data ingestion from vehicle telemetry and customer interactions, automatically triggering actions like fleet redistribution alerts and maintenance scheduling. This automation reduces manual intervention and allows GetGo's team to focus on customer-facing features rather than operational tasks.

For transactions, GetGo deployed Amazon Aurora, a global-scale relational database service built for the cloud, to facilitate high availability, reliability, and scalability for GetGo’s core operations, including bookings, payments, and user management. Combined with Amazon DynamoDB, a serverless, NoSQL, fully managed database, for data processing, GetGo has a robust foundation that handles demand spikes during weekends and festive seasons without system crashes—a critical advantage in Singapore's competitive car-sharing landscape.

GetGo used Amazon Simple Storage Service (Amazon S3), an object storage service, to store vast amounts of telemetry, transactional, and event data. This centralized and scalable storage solution allows its analytics platform to process the data and generate near real-time insights for strategic fleet management. The resulting insights allow teams to position vehicles in high-demand areas and redistribute assets as needed, reducing vehicle idle time during critical peak periods when competition is fiercest.

The company also used Amazon Bedrock, a fully managed service to build and scale generative AI applications and agents, to automate accounts payable invoice processing. Specifically, with generative AI, GetGo’s finance team can now extract data from invoices and insert them into the account system automatically. The automation allows the finance team to process approximately 400 monthly claims within one to three business days, compared to the previous average of two weeks, significantly minimizing error rate and improving customer satisfaction.

As GetGo continues its operations in Singapore, it plans to expand automation, utilize generative AI, and enhance operational efficiency with AWS. Furthermore, the company is exploring the use of generative AI, particularly with Amazon Bedrock, and its AWS-based infrastructure to augment workflows and its workforce productivity.

“With AWS, we have been able to scale seamlessly to meet surges in demand, automate critical workflows, and focus our team’s energy on delivering a reliable, data-driven car-sharing experience for our users. The cloud has been essential in helping us stay agile and competitive in Singapore’s fast-moving mobility landscape.” said Maximilian Jackson, Head, Data Science and Engineering, GetGo.