Data scattered across 700 tables forced operators to perform 100 daily manual tasks. Now, AI agents autonomously execute these workflows.
Korea's top online shopping mall platform supports over 2 million brands and processes KRW 11 trillion in annual transaction volume alongside 300 gigabytes of daily log data.
As services expanded, operational data became fragmented across more than 700 tables, resulting in inconsistent KPI definitions and siloed metrics....
“The platform we built on Databricks made it possible to run operations where performance can be repeatedly reproduced.”
E-commerce platform for online store building, marketing, and global logistics.
Databricks is a Big Data company that offers a unified analytics platform for data science, engineering, and analytics teams.
Related implementations across industries and use cases
Silos kept new products stuck in development for months. A unified platform now lets teams ship MVPs in just two weeks.
Standard models distorted large datasets. Agents now analyze 150k tokens with precision, cutting 5-hour reviews to 10 minutes.
Scaling curation for 90M buyers was impossible. Now, experts build seed collections and Vertex AI expands them into millions of custom feeds.
Chat interfaces failed at scale. Gemini 3 Flash now stabilizes performance and semantically validates agent work.
Merchandising relied on spreadsheets and physical resets. Digital twins now simulate layouts virtually before staff move a single shelf.
Store managers lost applicants to a 10-day hiring cycle. Now, an AI agent screens and schedules via text, saving thousands of hours.
Shoppers built lists item-by-item. Now, they build full baskets in one prompt, while staff automate internal workflows.
Analyzing 10TB of weekly telemetry took IT specialists days. Now, engineers ask AI in natural language to instantly retrieve charts.
Custom hardware bottlenecked imaging. A switch to software-defined GPUs now renders photorealistic 3D hearts in real time.
Data scattered across 700 tables forced operators to perform 100 daily manual tasks. Now, AI agents autonomously execute these workflows.
Korea's top online shopping mall platform supports over 2 million brands and processes KRW 11 trillion in annual transaction volume alongside 300 gigabytes of daily log data.
As services expanded, operational data became fragmented across more than 700 tables, resulting in inconsistent KPI definitions and siloed metrics....
“The platform we built on Databricks made it possible to run operations where performance can be repeatedly reproduced.”
E-commerce platform for online store building, marketing, and global logistics.
Databricks is a Big Data company that offers a unified analytics platform for data science, engineering, and analytics teams.
Related implementations across industries and use cases
Silos kept new products stuck in development for months. A unified platform now lets teams ship MVPs in just two weeks.
Standard models distorted large datasets. Agents now analyze 150k tokens with precision, cutting 5-hour reviews to 10 minutes.
Scaling curation for 90M buyers was impossible. Now, experts build seed collections and Vertex AI expands them into millions of custom feeds.
Chat interfaces failed at scale. Gemini 3 Flash now stabilizes performance and semantically validates agent work.
Merchandising relied on spreadsheets and physical resets. Digital twins now simulate layouts virtually before staff move a single shelf.
Store managers lost applicants to a 10-day hiring cycle. Now, an AI agent screens and schedules via text, saving thousands of hours.
Shoppers built lists item-by-item. Now, they build full baskets in one prompt, while staff automate internal workflows.
Analyzing 10TB of weekly telemetry took IT specialists days. Now, engineers ask AI in natural language to instantly retrieve charts.
Custom hardware bottlenecked imaging. A switch to software-defined GPUs now renders photorealistic 3D hearts in real time.