Retail & ecommerce · Databricks
Jeongyookgak: Meeting the needs of online food consumers
Public case study · not a Metric Oak engagement
- Data volume processed with one-third of the engineering staff
- 1,000x
- Increase in the number of active customers with Databricks-powered CRM campaigns
- 30%
- More returns on push marketing investment
- 2x
What happened
The story in brief
A fast-growing Korean direct-to-consumer meat retailer needed to process more data without growing its engineering team. On Databricks it handled far more data with a small team and grew active customers through data-driven CRM campaigns.
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Data platform engineering
Databricks, Snowflake and Fabric built to production standards. Senior engineers, fixed scope, measured results.
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Frequently asked questions
What results did Jeongyookgak report?
Jeongyookgak reported 1,000x data volume processed with one-third of the engineering staff; 30% increase in the number of active customers with Databricks-powered CRM campaigns; 2x more returns on push marketing investment, according to its customer story published by Databricks.
Which platform and technologies did Jeongyookgak use?
Jeongyookgak used Databricks on Azure and Google Cloud, including Declarative pipelines, Apache Spark.
How do these results compare with other retail & ecommerce programs?
See our retail & ecommerce benchmark for median cost reductions and speed-ups across published results in the industry.
Source
Customer story published by Databricks: Meeting the needs of online food consumers (opens databricks.com in a new tab) on databricks.com. Figures as published, retrieved 27 October 2026. The summary above is Metric Oak's own. This is not a Metric Oak engagement.
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