Hyundai Home Shopping powers growth with Oracle Exadata
Hyundai Home Shopping capitalizes on insights to customer behavior and exponential growth with Oracle Exadata.
“It is not an exaggeration to say that Oracle Exadata has been the living proof and the most important companion in Hyundai Home Shopping’s digital innovation journey in the t-commerce market, which has expanded 17X in the last five years. The advanced system’s flexible scalability, stable security, and excellent performance has helped us to innovate customer service and to significantly grow sales and operating profit margins.”
Business challenges
By launching an industry-first shopping app dedicated to smart TVs in 2011, Hyundai Home Shopping provides consumers with a comprehensive online shopping mall of high-quality products at reasonable prices. The Korean internet-based t-commerce service (trade via smart TV) enables viewers to use various media devices such as PC, mobile, and TV as an integrated shopping platform—a convenient and innovative customer experience. In the last five years, t-commerce has grown 17X, accelerated by the global pandemic.
Since 2014, Hyundai Home Shopping has relied on Oracle Exadata X3 engineered systems for scalability and security, as well as excellent performance. But the company needed a refresh to continue supporting t-commerce growth and deeper customer analysis.
Why Hyundai Home Shopping chose Oracle
Hyundai Home Shopping upgraded to Oracle Exadata Database Machine X8 for increased scalability, security, and performance for both transactional and data warehousing workloads.
Oracle Exadata goes beyond a powerful database platform as the optimal solution in the rapidly changing market, with portability to Oracle Exadata Cloud@Customer and Oracle Exadata Cloud Service without code changes.
Results
Using Oracle Exadata, Hyundai Home Shopping was prepared for the dramatic spike in contactless shopping, and saw significant growth in revenue and operating profit margins. The increasing scale and speed of data transaction processing combined with the ability to analyze purchase patterns has allowed the t-commerce pioneer to continuously discover new business models and deliver better, personalized services.