Retail & ecommerce · Databricks

Air Miles: Building meaningful connections with loyal customers

Public case study · not a Metric Oak engagement

Of retail consumer data ingested to support the AIR MILES Reward Program: 80TB
Personalized offers per month powered by machine learning: 100M
In redemption value, contributing to $70 billion in total sales: $600M

What happened

The story in brief

A long-running coalition loyalty programme with millions of collectors needed to personalize offers at scale. On Databricks it ingests large volumes of retail data and powers tens of millions of machine-learning personalized offers each month.

See the full retail & ecommerce benchmark

Planning something similar?

AI-ready data

Governed, retrievable data for GenAI, RAG and agents. Senior engineers, fixed scope, measured results.

How we do it Book an architecture review

Retail & ecommerce · Databricks
84.51
62M
Households served
Retail & ecommerce · Databricks
Ahold Delhaize
50%
Cost reduction
Retail & ecommerce · Databricks
Al Futtaim
10%
Higher automotive sales

Related insights

Frequently asked questions

What results did Air Miles report?

Air Miles reported 80TB of retail consumer data ingested to support the AIR MILES Reward Program; 100M personalized offers per month powered by machine learning; $600M in redemption value, contributing to $70 billion in total sales, according to its customer story published by Databricks.

Which platform and technologies did Air Miles use?

Air Miles used Databricks, including Databricks SQL, Tableau, Looker.

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: Building meaningful connections with loyal customers (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.

Have 30 minutes? Get a senior architect’s view of your data platform.

No sales deck. You talk to the engineer who would lead the work.

Book an architecture review