Retail & ecommerce · Databricks
Arezzo&Co meets fashion shoppers' demands with data and AI
Public case study · not a Metric Oak engagement
- Concurrent users on mobile-optimized Databricks Apps daily
- 100+
- For full development of new applications
- 2 weeks
- Increase in sales through employee referral channel
- 8%
What happened
The story in brief
Latin America's largest fashion group, with thousands of stores and many brands, wanted real-time insight in the hands of store teams. It migrated to Databricks and deployed mobile apps on the platform, lifting sales through its employee referral channel.
See the full retail & ecommerce benchmarkPlanning 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 Arezzo&Co report?
Arezzo&Co reported 100+ concurrent users on mobile-optimized Databricks Apps daily; 2 weeks for full development of new applications; 8% increase in sales through employee referral channel, according to its customer story published by Databricks.
Which platform and technologies did Arezzo&Co use?
Arezzo&Co used Databricks, including Unity Catalog, Databricks Apps, Tableau.
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: Arezzo&Co meets fashion shoppers' demands with data and AI (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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