Case Study: Podo achieves 10X more accurate forecasts with Cloudera

Podo capturing and growing market share with 10X more accurate forecasts

Podo, a Madrid-based Spanish electricity provider, competes by offering fully customized rates and incentives to households and businesses. To deliver tailored offers and help customers save energy, Podo needed highly accurate forecasts of individual electricity consumption — next week, month, and year — at scale across millions of service points.

Working with Cloudera on a Google Cloud Platform–based analytics and machine learning platform, Podo analyzes billions of historical and streaming meter records to generate and continuously refine individual consumption predictions. The solution made forecasts 10× more accurate (error below 1%), enables micro-targeted campaigns in hours, democratizes analytics across the company, scales cost‑effectively, and helps customers reduce bills by up to 30%.

Podo

Alberto Hernandez

Digital Platform Manager