Cafe24 Scales E-Commerce Growth With Data and AI

Overview

Cafe24, Korea's largest online shopping mall platform supporting more than 2 million brands, consolidated fragmented data (300+ GB of daily logs across 700+ tables) onto the Databricks Data + AI Platform to standardize KPIs and connect analytics directly to operational execution for its Cafe24 PRO service. Data flows through a medallion-architecture lakehouse governed by Unity Catalog, with Agent Bricks, Databricks' multi-agent AI framework, decomposing complex analytical tasks across specialized AI agents that collaborate on reasoning, analysis and execution for promotions, merchandising and marketplace operations. Business users access insights through BI dashboards and natural-language interfaces. Over a six-month period, brands using Cafe24 PRO saw a 24% increase in total revenue, a 64% increase in average order value, and a 36% increase in new customers; manual marketplace operations work dropped from more than three hours to under five minutes per marketplace.

The challenge

Before Databricks, Cafe24 struggled with fragmented systems, inconsistent KPIs and slow, manual data processes that limited automation and made it difficult to apply AI at scale. With more than 300GB of log data generated daily and over 700 tables to manage, processing and operational efficiency became increasingly constrained.

The solution

Reported business value

Databricks replaced a labor-intensive model in which single-store operators manually performed up to 100 repetitive tasks per day. Over a six-month period, Cafe24 PRO recorded a 24% increase in total revenue, a 64% increase in average order value and a 36% increase in new customers, and manual marketplace operations work dropped from more than three hours to under five minutes per marketplace.