Kaluza provides an intelligent platform for the future of energy by revolutionising how the world’s biggest energy utilities serve customers. As energy markets worldwide become more decentralised and renewable energy generation ramps up, Kaluza’s utility clients are increasingly reliant on data to understand their broad spectrum of customers and provide personalised, innovative propositions and customer support.
Kaluza’s real-time cloud platform is transforming retail operations, providing utilities with advanced solutions for automating their core operations, optimising energy flows and bolstering customer lifetime value through rewarding, low-carbon propositions.
As a way to further enhance the value provided to their clients, Kaluza has partnered with Mesh-AI’s team of experts to leverage AI & machine learning (ML) technologies. The partners engagement has focused on utilising ML models to predict an energy customer’s propensity to churn, with a view to develop new techniques to increase customer loyalty and lay the foundation for clients to maintain revenue growth.
Kaluza wanted to develop a model that could be utilised to predict a customer’s propensity to churn, either as a result of a home move, or a customer changing supplier. This use case was chosen for a number of reasons:
Mesh-AI, in partnership with AWS, successfully delivered a 4-week project aimed at showcasing enhanced customer insights integrated into Kaluza’s core platform. This helps to drive next-best-action for clients, and acts as a starting point for future AI innovation. Leveraging Mesh-AI’s data analysis, engineering and machine learning expertise, the team delivered a model that can be utilised by clients worldwide. Over the course of four weeks, the team was able to:
As an Advanced Partner, Mesh-AI has a well established AWS practice, with capabilities across the AWS lifecycle. Mesh-AI and Kaluza deployed a range of AWS technologies throughout the engagement which could be utilised in the future to drive long-term value for Kaluza customers:
The successful delivery of the model clearly demonstrates Kaluza’s ability to deliver AI & ML use cases in an accelerated time frame, to a high level of quality and accuracy. The engagement has led to the sharing of ideas and expertise between the Kaluza data team and Mesh-AI’s team, further strengthening Kaluza’s flexible and modular platform.
This demonstrable ML model now allows for the rapid deployment of churn insight for clients, via an API endpoint. This integration also aims to promote dialogue with Kaluza’s energy retail clients about future feature enhancements like agent recommendations, further next best action and ultimately, pave the way for revenue growth by maximising customer lifetime value.
