Smarter Customer Engagement with Future-Ready Insights
A leading energy provider partnered with Skillfield to upgrade the intelligence and performance of its customer-facing Energy Insights platform.
Through a complete refactor of the machine learning framework and cloud integration, the solution delivered modular, scalable, and secure capabilities, improving customer engagement, transparency, and trust while enabling future innovation at scale.
The Problem
The client’s Energy Insights product was critical for engaging customers with personalised usage data and improving billing transparency.
However, limitations in the legacy machine learning models and infrastructure constrained scalability, accuracy, and maintainability.
As customers’ expectations grew, so did the need for a more intelligent, efficient, and future-ready system. The existing solution struggled to support real-time analytics, lacked a modular design to enable agile improvements, and posed integration challenges within the broader data ecosystem.
Without strategic updates, the product risked reduced relevance and declining user trust.
The Solution
Skillfield delivered a robust, end-to-end solution by redesigning the Machine Learning system using Azure ML V2 and DataBricks.
The approach included refactoring pipelines into modular components, developing appliance-level detection and prediction models, and integrating diverse data sources, including weather, metering, and property datasets.
Automated CI/CD pipelines ensured continuous training, testing and deployment, supported by rigorous monitoring for fairness, performance and explainability.
Strong governance and security practices, including role-based access control and vulnerability scanning, were embedded throughout.
This future-proof design enables scalability, reusability, and transparent operations while significantly reducing development effort and boosting operational efficiency.
The Outcome
The upgraded Energy Insights platform now delivers higher prediction accuracy, faster processing times, and seamless cloud integration.
The modular, reusable framework accelerates development for future use cases and enables continuous improvement without disrupting services.
Enhanced data visibility and machine learning transparency build customer trust and reduce churn. With scalable architecture and streamlined workflows, the client is positioned to expand capabilities, integrate new data streams, and remain agile in a competitive market.
Most importantly, the solution ensures a consistent, secure and compliant experience for both the organisation and its customers.
