Our customers

Our customers come from a variety of verticals and range from e-commerce, utilities, retail to finance. They are all leading companies with one thing in common: they know that creating data driven products keeps them competitive.

Cases

Demand prediction for Bakkersland

Bakkersland

Predicting demand for fresh bread in supermarkets

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Setting Hadoop infrastructure and initial data-driven use cases

Bol.com

Setting Hadoop infrastructure and developing data-driven use cases

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Better customer relations by using machine learning algorithms

Large e-retailer

Better customer relations by using machine learning algorithms

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Personal recommendations based on viewed content

NPO

Personal recommendations based on viewed content

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Data Science Suite implementation at Schiphol Group

Schiphol Group

Data Science Suite on Microsoft Azure

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Personal recommenders on Transavia website

Transavia

In order to improve the user experience of their website, Transavia has introduced personal recommendations based on machine learning algorithms. For the collection of clickstream data, the airline implemented open source clickstream collector Divolte.