Retail & ecommerce · Databricks
Wehkamp: Democratizing data for better shopping experiences
Public case study · not a Metric Oak engagement
- Reduction in operational costs
- 70%
- Increase in revenue due to increased customer engagement
- 2x
- Of models built per day
- 100s
What happened
The story in brief
A leading Dutch online fashion retailer's legacy data warehouse could not keep up with personalization goals. Moving analytics and machine learning to Databricks enabled a personalized web shop, increasing engagement and revenue while lowering operating costs.
How it compares
- 70% reduction in operational costs, against a median reported cost reduction of 50% across 16 retail & ecommerce results.
Planning something similar?
Cloud data migration
Legacy warehouse to lakehouse, with parallel-run validation. Senior engineers, fixed scope, measured results.
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Related insights
Frequently asked questions
What results did Wehkamp report?
Wehkamp reported 70% reduction in operational costs; 2x increase in revenue due to increased customer engagement; 100s of models built per day, according to its customer story published by Databricks.
Which platform and technologies did Wehkamp use?
Wehkamp used Databricks on AWS, including Delta Lake, MLflow, Airflow, Tableau.
How do these results compare with other retail & ecommerce programs?
70% reduction in operational costs, against a median reported cost reduction of 50% across 16 retail & ecommerce results.
Source
Customer story published by Databricks: Democratizing data for better shopping experiences (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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