About EASI Group
Who Are We?
The EASI Group is made up of three companies providing IT solutions and services to customers in Southeast Asia and Hong Kong.
- EASI Ticketing provides software applications for cinema ticketing, cinema management and cinema display solutions
- EASI Malaysia and EASI Singapore provide IT solutions and services to retail, F&B, and attraction park operators in their respective operating countries as well as regionally.
All three companies are subsidiaries of PPB Leisure Holdings and offer integrated, easy-to-use, and scalable solutions that contribute to their clients' success. Their core values are integrity and value-added service, and they continuously innovate to anticipate future needs of their customers.
We are ISO/IEC 27001:2013 certified.
Note:
- EASI Ticketing Sdn Bhd (751018-H) (EASI Ticketing) is a 100%-subsidiary of PPB Leisure Holdings Sdn Bhd (PPBLH).
- EASI (M) Sdn Bhd (640622-K) and Enterprise Advanced System Intelligence Pte Ltd (200510152N), are both 60% subsidiaries of PPB Leisure Holdings Sdn Bhd (PPBLH).
Our Services
Design & Consultation
Integration and deployment
Design & Consultation
We design and develop customized self-service solutions that meet our customers' unique needs and requirements.
Hardware and Software
Integration and deployment
Design & Consultation
We provide the necessary hardware and software components for implementing self-service systems, including kiosks, digital signages, mobile apps, and more.
Integration and deployment
Integration and deployment
Integration and deployment
We handle the integration and deployment of self-service systems, ensuring that they work seamlessly with existing technology infrastructure and processes.
Maintenance and Support
Data Analysis and Optimization
Integration and deployment
We provide ongoing maintenance and support services to ensure that self-service systems remain functional and up-to-date.
Data Analysis and Optimization
Data Analysis and Optimization
Data Analysis and Optimization
We help customers collect and analyze data on customer behavior and preferences, using this information to optimize self-service systems and improve the overall shopping experience.
