Choice Holdings’ Choice Revenue Intelligence™ is a revenue assurance platform built for the utilities sector. It focuses on helping electric, gas, and water companies reduce non-technical revenue losses caused by fraud, theft, collections issues, and service-quality problems. Strictly speaking, it is not a typical marketing or SEO customer-acquisition tool; it is closer to a vertical AI risk-control, revenue-protection, and operations analytics platform.
The platform uses AI/ML algorithms to analyze customer data, predict each customer’s likelihood of fraud and the corresponding financial return, and help teams prioritize field inspections, optimize collections rules, define investigation rules, and support AMR/AMI deployment-area selection. The available materials state that it has been adopted by utility companies serving nearly 100 million customers, has supported more than 2 million field inspections, and generates around $40 million in average annual returns. It is also described as being deployed across more than 30 electric, gas, and water organizations serving over 180 million people, suggesting its reference cases are mainly large enterprise-scale deployments.
The publicly available website content does not provide pricing, subscription options, contract terms, free-trial details, or payment methods. Procurement will most likely require direct sales contact. The platform has been described as the first non-SAP software vendor in the utilities sector to receive SAP HANA certification, and it mentions support for ETL process optimization, new reports, application support updates, and custom feature development. However, it does not provide a clear list of APIs, cloud platforms, data warehouses, or third-party tool integrations.
Its main strength is its highly focused industry positioning: it combines algorithms, consulting services, and field operations into a closed loop around revenue assurance. It also has validation from large utility customers and industry recognition. The downside is limited public transparency: pricing, trials, implementation timelines, deployment models, and localization support are all unclear. It is also largely irrelevant for general marketing, SEO, or ecommerce growth teams.
It is best suited to revenue assurance, anti-fraud, collections, data analytics, and field inspection teams at large power grid, water, and gas utility groups. The source material does not mention access from China, so network connectivity, payment methods, and Chinese-language support cannot be determined. In the Chinese market, comparable options may include SAP for Utilities, Oracle Utilities, SAS industry analytics solutions, or local energy digitalization and anti-electricity-theft systems.
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