Google Cloud Platform Case Studies AirAsia's Digital Transformation with Google Cloud: Enhancing Pricing, Revenue, and Customer Experience
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AirAsia's Digital Transformation with Google Cloud: Enhancing Pricing, Revenue, and Customer Experience

Google Cloud Platform
Analytics & Modeling - Machine Learning
Infrastructure as a Service (IaaS) - Public Cloud
Equipment & Machinery
National Security & Defense
Quality Assurance
Chatbots
Tamper Detection
Cloud Planning, Design & Implementation Services
System Integration
AirAsia, a leading airline in the Asia Pacific region, aimed to become a 'data-first' business and a digital airline. The company needed technologies and services that could capture, process, analyze, and report on data, while delivering value for money and meeting its speed and availability requirements. The airline also wanted to minimize infrastructure management and system administration demands on its technology team. AirAsia realized that only a cloud service could meet its needs and began evaluating the market. The company also faced challenges with its legacy on-premises directory as it expanded to new markets and regions. Managing multiple servers across a number of on-premises data centers and the public cloud proved costly and time-consuming.
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AirAsia is a leading airline in the Asia Pacific region with a mission to allow everyone to fly. Since 2001, the airline has transported over 600 million people across Asia Pacific. Across AirAsia Group and AirAsia X Group, AirAsia serves over 150 destinations in 25 markets, flies over 400 routes, and operates more than 11,000 weekly flights. It operates from 23 hubs across India, Indonesia, Japan, Malaysia, Thailand, and the Philippines, and operates 274 Airbus aircraft. The airline is known as a provider of low-cost airfares to locations across Asia and aims to deliver innovative, personalized products and services that meet the needs of each of its passengers.
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AirAsia found Google Cloud to be the best fit for its business. The company was already familiar with Google Cloud, having deployed Google Workspace collaboration and productivity applications to its workforce in all countries except China. The business was particularly excited by the potential of the BigQuery analytics data warehouse to power its digital transformation. The AirAsia technology team was impressed by the ease and flexibility with which it could extract, transform, and load customer data from its systems, websites, and mobile applications into BigQuery for analysis. Data, reports, and dashboards were delivered and visualized through Looker Studio. AirAsia also deployed Cloud Identity, Google’s cloud-based Identity and Access Management solution, to help address the identity challenges it was facing. The airline also used machine learning to optimize pricing for a range of services and began by using AI Platform to sort and predict demand for ancillary services such as baggage, seats, and meals.
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The deployment of Google Cloud has resulted in a reliable base from which AirAsia can launch new products and features. The stability of Google Cloud service means that developers and product engineers can focus on turning ideas into reality. The use of Dialogflow has streamlined operations and reduced costs, improving on-time performance and operational efficiency. The deployment of a 'safety bot' for airport ground staff has increased employee interaction, ensuring proper safety measures. The HR department uses a Dialogflow-powered bot to run a post-orientation engagement program for new employees, saving HR employees time from scheduling one-on-one meetings. The deployment of Cloud Identity has enabled the airline to have a single identity and set of credentials for each employee, which they could use to access all the applications they need to be productive, both in the cloud and on-premises.
Increases employee survey response rates by 30%
Enables movement towards a zero trust security model while reducing administration load on IT team
Increases business agility by deploying faster and more frequently
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