customer story
Democratizing data for better shopping experiences

Wehkamp serves real-time recommendations to their customers


SOLUTION: Personalized customer experience

TECHNICAL USE CASE: Data ingest and ETL, machine learning, deep learning

As a leading e-commerce company in fashion, Wehkamp has dedicated itself to providing the best possible shopping experience for their customers. With that mission in mind, they trust in Databricks for data analytics and machine learning — allowing them to build an exciting and highly engaging web shop that is personalized to each of their customers.

Legacy data warehouse not keeping up with website demand

Wehkamp was using a traditional corporate data warehouse, but as its business grew, its inability to scale without intensive DevOps support was slowing things down. Furthermore, their legacy systems were not collaborative and created silos as only their data analysts were able to access the data, most of which was left unused due to the challenges created by data silos. This all had a cumulative effect on their ability to not only innovate with machine learning, but when they did build new features, they were not able to scale them across their global websites at the rate their business required.

Democratizing data and machine learning

Databricks provides Wehkamp with a Unified Data Analytics Platform that fostered a collaborative and democratic environment across the entire company, enabling them to ingest large volumes of high velocity data, and develop a powerful image classification and recommendation engine to improve the customer experience.

Enabling a shopping experience that converts

With Databricks, anyone in Wehkamp can easily get access to data, to work, display and integrate with other services to make more use of that data. The machine learning use cases have provided tremendous value and direct impact on revenue.

Databricks is an incredible platform that enables engineers, scientists and analysts to collaborate to build some of the most state of the art products out there.”

– Arnoud de Munnik, Data Scientist, Wehkamp

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