Revenue leakage & assurance
Leakage detection across the meter-to-cash process — unbilled usage, soft shutoffs, tampered equipment, theft and fraud — with attribution back to the customer, account, and process stage where margin is escaping.
Retail and wholesale supply margins are thin and moving. We bring together customer, pricing, and consumption data so supply and marketing teams can see where margin is made and lost — and act on it before the month closes.
Draft Illustrative capability set — being reviewed with our content lead before launch.
Leakage detection across the meter-to-cash process — unbilled usage, soft shutoffs, tampered equipment, theft and fraud — with attribution back to the customer, account, and process stage where margin is escaping.
Low-latency monitoring of meter-to-cash that flags abnormal usage and billing errors before they harden into revenue erosion — plus the real-time signals to prompt customers to shift or reduce load.
A single customer view across usage, billing, payment, and every interaction channel — then behavioral segmentation that puts the right product in front of the right customer at the right time.
Churn and lifetime-value modeling tied to profitability by tariff, rate, and usage pattern — so retention spend goes where it protects recurring revenue, and you can see which customers are subsidizing which.
A large municipal utility's billing system couldn't support analytics, and ad-hoc extracts were degrading it in production. We moved reporting onto an elastic cloud analytics layer with one governed source of truth.
In deregulated markets, a complex mix of products and contracts made it hard to tell which customers and deals paid off over time. We built the analytics to evaluate profitability by product, customer, and deal — and the churn behind it.
Four business units were each adopting BI their own way. We built an enterprise BI master plan — one assessment, one architecture, one adoption path across wholesale/risk, C&I, mass markets, and home services.