Utility companies face challenges in identifying customers at risk of defaulting on energy bills, leading to increased unpaid bills and reduced revenue recovery. Traditional methods of identifying at-risk customers are often costly and inefficient. This can hinder efforts to connect customers with assistance programs before payment issues arise.

Peoples Energy Analytics offers a data-driven solution that identifies utility customers at risk of defaulting on their energy bills, enabling proactive intervention and connection with assistance programs. By leveraging data analysis and predictive modeling, the solution accurately determines which customers are likely to face payment difficulties, often years before they miss a payment. This approach significantly reduces the cost of customer identification, leading to a reduction in unpaid energy bills and improved revenue recovery for utility companies. The solution provides a complete business solution that includes strategy design, data analysis, and marketing outreach support.

Predictive modeling to identify at-risk customers before they default.

Data analysis to determine the factors contributing to payment difficulties.

Strategy design to implement effective intervention programs.

Marketing outreach support to connect customers with assistance programs.

Tools to help utility companies implement strategies for achieving environmental justice.

Solutions to improve the customer experience.

The primary customers are utility companies seeking to reduce unpaid energy bills, improve revenue recovery, and enhance customer relationships.

The company generates revenue by providing a complete business solution that includes strategy design, data analysis, and marketing outreach support.