Case Study: E-Energy achieves faster, more accurate competitor tariff analysis with Imobisoft machine learning

E-Energy cuts tariff analysis from 3 days to 55 seconds with Imobisoft

E-Energy faced the challenge of manually analyzing a large, inconsistent competitor tariff file from regulators every two weeks. A significant administrative team required up to three days to cleanse, deduplicate, and format the data to understand their competitive market position. To solve this, they partnered with vendor Imobisoft to implement a machine learning model.

Imobisoft developed an automated machine learning solution that processes the file, removes duplicates, fixes values, and highlights anomalies. The entire process now takes just 55 seconds and delivers 100% accurate output. This provided E-Energy with faster competitor price insights and created a competitive edge, resulting in annual savings of over £30,000 for the business.

E-Energy