Severn Trent transforms energy forecasting and predictive planning with CCH Tagetik Expert AI

How one of the UK's leading water utilities is using AI-powered planning to improve forecast accuracy and decision-making.

Building on its existing CCH Tagetik platform, Severn Trent deployed CCH Tagetik Expert AI to create a unified and explainable forecasting model.

The model evaluates multiple business drivers simultaneously, helping finance teams understand not only what is likely to happen, but also why it is happening. This enables a more intelligent and data-driven approach to predictive planning, where finance can continuously adapt forecasts based on changing business conditions.

Why it matters: Moving beyond traditional forecasting

Traditional forecasting often relies on historical financial data alone.

Predictive planning becomes significantly more valuable when operational and financial data are analysed together. Rather than relying solely on historical trends, finance teams can continuously adapt forecasts based on the business drivers that matter most.

The business impact: Higher forecast accuracy, faster decisions and better business outcomes

90%+ forecast accuracy

By combining financial, operational, and environmental data, Severn Trent is targeting 90%+ forecast accuracy, improving confidence in planning and budgeting.

36x faster model training

Model training and execution times were reduced from 12 hours to just 20 minutes, enabling faster forecast updates and more agile decision-making.

Hidden drivers brought to light

Expert AI uncovered previously invisible relationships within millions of rows of data, helping teams better understand what drives energy consumption and costs.

Faster, more informed decisions

With quicker access to insights, Finance can focus less on reporting and more on supporting business decisions with confidence.