AI & Machine Learning

Meter — AI-Powered Energy Procurement Platform

ClientMeter Energy TechnologiesOctober 2025StackNext.js, React, TypeScript +5
Landing page hero — conversion-focused design with instant sign-up CTA and transparent pricing
Multi-property energy dashboard with real-time consumption analytics and savings insights
AI-powered supplier matching and real results: $11,153 saved across 15 properties
Full product experience: from marketing site to onboarding to energy management dashboard

AI-powered energy procurement platform that aggregates multi-property consumption, eliminates broker markups, and matches businesses with competitive suppliers — delivering 34% average cost reductions.

Client

Meter Energy Technologies

Category

AI & Machine Learning

Year

2025

Technologies

8 in stack

Challenge

Commercial energy procurement is broken. Businesses with properties across multiple states and utility territories are forced to work with brokers who charge hidden fees, provide zero transparency, and lock clients into opaque contracts. Property managers at companies like NERS Properties were juggling 15+ separate utility accounts with no centralized view of consumption, spending, or savings opportunities.

Meter's founding team had deep energy industry expertise but needed a world-class technology partner to transform their vision into a scalable SaaS platform — one that could ingest data from dozens of utility providers, run intelligent supplier matching, and deliver a consumer-grade user experience that makes energy procurement feel effortless.

Solution

We architected and shipped the entire platform in 14 weeks:

Multi-property aggregation engine — A data pipeline that normalizes consumption data across different utility formats, territories, and rate structures into a single unified portfolio view. This unlocks bulk purchasing power even for geographically dispersed properties.

AI-powered supplier matching — A matching algorithm that analyzes consumption patterns, contract timing, and market conditions to surface the most competitive supply rates. The system eliminates traditional broker markups entirely — Meter earns a small commission built into the supply rate that never increases the client's cost.

Real-time analytics dashboard — An intuitive dashboard showing total spend under management, property-level breakdowns, savings tracking, and proposal status. Property managers get the visibility they never had with traditional brokers.

Frictionless onboarding — Magic link authentication, Google OAuth, and a guided setup flow that gets users from sign-up to first savings proposal in under 10 minutes. No credit card required.

Outcome

The platform launched and immediately proved its value:

$11,153 in annual savings for the first client (NERS Properties LLC) across just 15 properties — a 34% reduction in energy costs.

$435,000+ in energy spend under management within the first quarter, with the pipeline growing rapidly as word-of-mouth referrals drive organic adoption.

The platform's transparent pricing model and consumer-grade UX have become Meter's primary competitive advantage against legacy energy brokers. The company is now scaling into new utility territories and expanding its AI capabilities to include predictive consumption forecasting.

Stack

Next.jsReactTypeScriptNode.jsMongoDBGoogle OAuthTailwind CSSVercel
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