Retail & ecommerce · Databricks
84.51° strengthens customer loyalty for Kroger shoppers with Databricks Notebooks
Public case study · not a Metric Oak engagement
- Households served
- 62M
- Decrease in setup and run times
- 85%
- Increase in daily workflows
- 100x
What happened
The story in brief
The retail data science subsidiary of a major US grocer builds insights from loyalty data covering tens of millions of households. Moving its data science notebooks and workflows to Databricks dramatically reduced setup and run times and scaled daily workflows.
See the full retail & ecommerce benchmarkPlanning something similar?
Data platform engineering
Databricks, Snowflake and Fabric built to production standards. Senior engineers, fixed scope, measured results.
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Related insights
Frequently asked questions
What results did 84.51 report?
84.51 reported 62M households served; 85% decrease in setup and run times; 100x increase in daily workflows, according to its customer story published by Databricks.
Which platform and technologies did 84.51 use?
84.51 used Databricks on Azure, including Lakeflow.
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: 84.51° strengthens customer loyalty for Kroger shoppers with Databricks Notebooks (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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