Customer Overview

Retail digitalization calls for increased developer productivity

With many dramatic shifts in the world of retail over the past two decades—from the explosion of e-commerce to the COVID pandemic digitalization is no longer just a strategic choice for companies in the retail and consumer packaged goods (CPG) industry, but a necessity for survival. In this blog, we discuss how the world’s leading cosmetic company, L'Oréal, uses Google Cloud solutions like Cloud Workstations to accelerate digitalization, empowering global developers with increased productivity and security.

~€ 32 B

Annual sales in 2021

100 years ago

L’Oréal was born out of science

over 85,000

employees

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The Solution

How L’Oréal built a data warehouse on Google Cloud

L’Oréal looks to data to make insightful business decisions. How does L’Oréal unify its data across all its systems and databases? How does L’Oréal make the data accessible to thousands of employees? In this video, Antoine Castex, Enterprise Architect at L’Oréal, discusses with Martin Omander how L’Oréal built a serverless, multi-cloud warehouse based on Google Cloud. 

Google Marketing Platform: L'Oréal Taiwan case study

L'Oréal, the world’s largest beauty company, wanted to ensure its marketing budget was being used effectively and reaching the right people. The marketing team used Google Marketing Platform and Google Cloud together to predict which customers would be most likely to purchase in stores and then reached those customers with advertising campaigns. Watch the video to learn how L'Oréal used machine learning to help grow its offline sales. 

2.2x increase in return on advertising spend for Lancôme Taiwan

Headquartered in the suburbs of Paris, L’Oréal is the world’s largest beauty company. Its mission is to create the beauty that moves the world. With a portfolio spanning luxury, professional, mass market, and active cosmetics, L’Oréal helps hundreds of millions of men and women feel good about themselves. Today, the company is present in more than 150 countries around the world.

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Technical overview

These retailers have one thing in common

They run containers on Google Cloud. Why is that important and why should you care?
Retail graphic
Cloud Run gives you infinite possibilities—you can use the library and the language you want

Containers are at the heart of modern applications. According to the 2022 State of DevOps report, containers have been the number one deployment target for primary services and applications for the past two years, and adoption continues to accelerate rapidly. 

Learn how you can enhance CPG customers with Google Cloud

Architecture
The developer productivity challenge

We have hundreds of developers working on this platform, across many different countries in many different teams, collaborating on different projects, while trying to share the same way of working.

Best Practice
How L’Oréal processes 20TB of data monthly with a serverless, event-driven data platform

Learn how L’Oréal moved to a more sustainable way of aggregating, processing, and storing large amounts of data every month using serverless compute and orchestration tooling.

Best Practice
Money matters: Automating your Cloud Billing budgets

The bigger a cloud environment, the more important it is to have robust cost management tools, including budget automation capabilities.

Best Practice
The L’Oréal Beauty Tech Data Platform—A data story of terabytes and serverless

Today, with the power of our game-changing science, multiplied by cutting-edge technologies, we continue our lifelong journey of shaping the future of beauty.