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Case

Effective market & customer segmentation with A.I.

Background

Our client is active in the energy market and sells energy solutions to companies. With a highly dynamic energy market, real data driven insights are more important than ever. What is my share of wallet? How do I segment the market? What’s my market share? … CROPLAND was on a mission to find the answers to these questions.

Objectives of the cooperation

At CROPLAND we developed an algorithm that predicts the energy volume consumption of companies. This model provides input into a market and customer segmentation exercise at our client. We have set-up the model using machine learning techniques and it is hosted on our proprietary data science toolkit CANDA.ai.

Technology Data wrangling I Machine learning I R I Random Forest​

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