Case Study
MeterWise
A utility intelligence platform concept for tracking usage, accounts, alerts, customer-facing energy insights, and operational visibility.
- •Defined a product direction around utility usage intelligence and customer account visibility.
- •Created a dashboard-centered experience for tracking usage, alerts, and operational status.
- •Positioned the platform for both internal operations and customer-facing insight workflows.
- •Established a foundation for future analytics, notification, and reporting features.
Problem
Utility customers and operators often need clearer insight into usage, account status, changes, and alerts. Without a focused interface, important patterns stay buried in raw data or fragmented account systems.
Approach
MeterWise was approached as a utility intelligence platform: usage data, customer account context, alerting, and operational visibility presented through a clean product interface. The goal is to make energy or meter activity easier to understand and act on.
Build
The concept centers on dashboards, account workflows, usage tracking, alert states, customer insights, and reporting views. The platform direction can support internal teams, customer-facing portals, and data-driven notifications as it grows.
Results
MeterWise creates a clear foundation for a data product in the utility space. It turns usage and account information into a more understandable operating surface for decisions, service, and customer communication.
Start a discovery assessment and we’ll map the public experience, business console, workflows, integrations, and first useful release.
Start Assessment →Business framing
Problem
The business needed more than a marketing website. The platform had to support customer activity, content, operational visibility, and ongoing management.
Solution
CEL3 shaped the public experience and supporting platform architecture so the client could manage the business with fewer disconnected tools.
Business Impact
The result is a centralized system that gives the client more control over daily operations and creates a stronger foundation for future workflow and AI features.