Discover how Kyobo re-engineered its analytics environment with EDB Postgres® AI to improve performance, optimize infrastructure costs, and secure data sovereignty.
Listen and learn:
- How a national bookstore manages tens of millions of product records alongside orders, payments, and customer data across rapidly growing digital and physical channels
- Why decades-old systems, rising vendor costs, and shrinking legacy talent pools forced Kyobo to rethink the sustainability of its data infrastructure
- What led Kyobo to modernize its analytics environment with EDB Postgres AI for WarehousePG after evaluating the long-term economics of operating large-scale retail data in the cloud
- How the new platform is enabling reinvestment into customer services while establishing a sovereign data foundation with greater cost control, infrastructure ownership, and readiness for AI-driven innovation
Kyobo Book Centre has spent more than four decades connecting readers to knowledge, culture, and ideas. But behind that experience sits a data environment as expansive as its catalog, spanning tens of millions of products, transactions, and customer interactions across physical and digital channels. As demand for real-time insight grew and digital services expanded, the scale of that data began to test the limits of the infrastructure supporting it.
Jung Heung-sik, Head of IT Support, shares how his team led a next-generation warehouse transformation to rein in rising data costs and establish a sovereign data foundation. Anchored by an on-premises deployment of EDB Postgres AI (EDB PG AI) for WarehousePG (WHPG) and integrated within Kyobo’s broader hybrid environment, the new platform is designed to support stable retail operations today while enabling future AI and vector-driven services.
