• Develop strategies to grow revenue
  • Enhance customer satisfaction
  • Transform customer analytics
  • Upgrade to a flexible, lower-risk billing system

Our breakthrough technology allows you to master big data and achieve your revenue targets.

Leverage customer Operations data (including smart meters)

Traditional applications, constructed over a period of years, tend to segregate customer data in different systems (e.g., meter data, billing, order fulfillment, outages and more). By implementing UIPlanner you can link revenue data with operational data including:

  • Meter reads and smart meter interval data
  • Service work scheduling (including connects & disconnects)
  • Outage management data

Calculate Bills – past & future

UIPlanner provides a flexible, highly-scalable and transparent billing engine. It enables you to calculate all components of customer bills (e.g., base rates, cost recovery mechanisms, taxes and more) in order to:

  • Feed bill-rendering (e.g., printing) software
  • Perform “quality bill checks”
  • Analyze proposed rates
  • Forecast individual customer bills

Foster better communication with Customers

UIPlanner greatly enhances your communication with customers by:

    • Presenting web-based bills with drill-down into calculations
    • Integrating Customer Relationship Management (CRM) data with billing data
    • Tracking and resolving customer complaints
    • Alerting customers of events (e.g., bill exceedances)
    • Enhancing analysis of payment and credit information

Modernize revenue Accounting tools

Utilities typically use spreadsheets to analyze revenue. Due to the large volumes of customer and meter data, spreadsheets must use aggregated data to approximate calculations. UIPlanner performs the following calculations faster and with greater precision:

  • Reporting revenue by customer, rate schedule, geography, demographics, segment and more
  • Generating waterfall charts of period-to-period changes in revenue by driver
  • Analyzing variances between actual and projected revenue
  • Calculating unbilled revenue
  • Performing multiple regression analyses of customer data
  • Measuring the impact of energy-efficiency programs