Case Study: Emart24 achieves faster, cost-efficient retail personalization with Databricks

Ushering in a new era of personalized retail shopping

Emart24, a leading convenience store retailer in Korea, wanted to evolve into a technology-driven business and deliver more personalized, cashierless shopping experiences. However, its legacy data platform was complex to manage, expensive to scale, and struggled to handle data from more than 6,500 stores, 13 distribution centers, and over 1 million daily customer interactions. Emart24 turned to Databricks and the Databricks Data Intelligence Platform to support its digital transformation and broader retail innovation goals.

With Databricks, Emart24 streamlined infrastructure management and centralized data from sales, POS, and customer app systems to better process massive transaction volumes. The platform helped reduce analysis time from 27 hours to much faster daily-ready reporting, while cutting resource costs of 930,000 won per analysis and improving scalability for more than 6 billion transactions and 80,000 products. Databricks enabled Emart24 to support cashierless store operations, product recommendations, automated ordering, and demand forecasting more efficiently across the business.

Emart24

Jae Kyung Lee

CIO, IT System & Digital