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.
Challenge
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.
Solution
Benefits
Results
