Developing Scalable Data Infrastructure for Retail E-Commerce Growth in Emerging East Asian Markets

Abstract

E-commerce has seen rapid growth in emerging East Asian markets such as China, Indonesia, and Vietnam in recent years. However, the supporting data infrastructure in these countries has struggled to keep pace. In order to sustain continued e-commerce growth, scalable data solutions are needed to handle increasing data volume, variety, and velocity. This paper examines the unique data challenges faced by emerging East Asian e-commerce firms and provides strategies for developing scalable data infrastructure. A technology framework centered around cloud computing, big data analytics, and artificial intelligence is proposed to handle the massive amounts of consumer, product, and transactional data generated. Specific solutions discussed include migrating core e-commerce platforms to the cloud, leveraging distributed NoSQL databases for flexibility, building data pipelines and data lakes for storage and analysis, applying machine learning algorithms to drive personalization and recommendations, and utilizing natural language processing for chatbots and customer service. Implementation considerations around data security, privacy, localization, and talent development are also discussed to tailor solutions to the emerging markets. With the right data infrastructure strategy anchored in next-generation technologies, emerging East Asian markets can foster innovation, gain insights into consumer behavior, provide superior customer experiences, and drive the next phase of e-commerce growth in the region. expansion.