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Retail & ecommerce · Databricks

Al Futtaim: Creating a unified customer view across 200+ brands

Public case study · not a Metric Oak engagement

Higher automotive sales
10%
Decrease in loss sale opportunity and inventory holding cost
30%
Faster time-to-insight
4x

What happened

The story in brief

A Middle Eastern conglomerate distributing global retail and automotive brands wanted to use customer data across its businesses. Building a unified customer view on Databricks increased automotive sales and reduced lost sales and inventory holding costs.

How it compares

  • 30% decrease in loss sale opportunity and inventory holding cost, against a median reported cost reduction of 50% across 16 retail & ecommerce results.
  • 4x faster time-to-insight, against a median speed-up of 10x across 8 retail & ecommerce results.
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  • Retail & ecommerce · Databricks

    84.51

    62M

    Households served

  • Retail & ecommerce · Databricks

    Ahold Delhaize

    50%

    Cost reduction

  • Retail & ecommerce · Databricks

    Air Miles

    80TB

    Of retail consumer data ingested to support the AIR MILES Reward Program

Related insights

Frequently asked questions

What results did Al Futtaim report?

Al Futtaim reported 10% higher automotive sales; 30% decrease in loss sale opportunity and inventory holding cost; 4x faster time-to-insight, according to its customer story published by Databricks.

Which platform and technologies did Al Futtaim use?

Al Futtaim used Databricks, including Unity Catalog, Delta Lake, Databricks SQL, Delta Sharing, Secure Data Sharing, Power BI.

How do these results compare with other retail & ecommerce programs?

30% decrease in loss sale opportunity and inventory holding cost, against a median reported cost reduction of 50% across 16 retail & ecommerce results. 4x faster time-to-insight, against a median speed-up of 10x across 8 retail & ecommerce results.

Source

Customer story published by Databricks: Creating a unified customer view across 200+ brands (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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