Customer Stories / Retail & Wholesale

2019
adidas logo

adidas Chooses AWS to Drive Mobile Innovation

With AWS, adidas can now deploy applications 40-times faster. It has also improved page-load times by 50 percent and was able to scale easily when a popular sneaker generated 1 million sales in just 2 days.

adidas is Europe’s largest sportswear company and one of the most recognizable brands on the planet. In 2019, it sold 1.1 billion items worldwide. With consumers having more choice and more ways to shop than ever before, adidas wanted to drive real-time engagement with its customers through mobile apps. This required the company to change the way it built and deployed applications. In this video, Markus Rautert, vice president of platform engineering and architecture at adidas Global IT, explains how AWS helps the company connect with customers. adidas uses data streaming, machine learning, and artificial intelligence services to recognize trends and predict future product offerings.

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AWS is the foundation to scale our platforms, where we continue to build the most differentiating applications for our consumers, and where we want to learn from our consumers and athletes."

Markus Rautert
Vice President of Platform Engineering and Architecture at adidas Global IT

AWS Services Used

Amazon S3

Amazon Simple Storage Service (Amazon S3) is an object storage service offering industry-leading scalability, data availability, security, and performance.

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Amazon Athena

Amazon Athena is a serverless, interactive analytics service built on open-source frameworks, supporting open-table and file formats. Athena provides a simplified, flexible way to analyze petabytes of data where it lives.

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Amazon Glue

Preparing your data to obtain quality results is the first step in an analytics or ML project. AWS Glue is a serverless data integration service that makes data preparation simpler, faster, and cheaper.

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Amazon QuickSight

Amazon QuickSight powers data-driven organizations with unified business intelligence (BI) at hyperscale.

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