Zara Tech tries to improve the experience of Zara customers, but for several processes, it’s difficult to obtain an objective KPI.
Julio López explains how Zara Tech uses indirect observation and ML engineering to augment the understanding of the company’s processes in order to improve them. Join in to learn how Zara Tech built and uses a Spark ML pipeline to provide KPIs to improve the shopping experience.
This session is sponsored by Zara Tech.
Julio López is a data scientist at Inditex, where he focuses on solving and improving AI and ML solutions. Previously, he was a researcher in high-performance computing and a software developer. He holds an interuniversity MAS in information technology and a master’s degree in mathematics from USC.
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