Grivio
Predictive Maintenance
Overview
Grivio, a SaaS platform for solar management, enables homeowners to monitor energy production and consumption through a unified dashboard. As the platform scaled, users began reporting delayed fault alerts and inconsistent maintenance response times often discovering inverter or panel issues only after a noticeable drop in efficiency. To solve this, Orchidea developed an Anomaly Detection & Maintenance Orchestration System that continuously monitors performance metrics, flags potential failures early, and routes issues to the right technician automatically all while keeping humans in control of final validation.
Client:
Grivio
Year:
2025
Category:
SAAS
/
Service Automation
Location:
United States
The Challenge
Fault detection relied on periodic manual checks rather than continuous monitoring.
Maintenance teams often received incomplete or delayed data, increasing downtime.
False positives overwhelmed technicians, creating inefficiency in dispatch.
Customer satisfaction dropped due to unexpected power losses and delayed response times.
The Solution
We implemented Grivio’s Predictive Maintenance Framework, combining real-time monitoring, intelligent routing, and human oversight:
Continuous Monitoring Engine — AI models tracked energy output, temperature, and voltage data from solar arrays to learn normal operating patterns.
Anomaly Detection Layer — When readings deviated from baseline, the system auto-generated an alert with a confidence score.
Workflow Orchestration — Verified anomalies triggered automatic ticket creation, homeowner notifications, and routing to the nearest certified service partner.
Human-in-Loop Verification — Before dispatch, technicians reviewed AI-flagged issues for context and confirmed necessary on-site action.
Learning Feedback Loop — Every verified incident retrained the model, improving accuracy over time.
This hybrid system balanced speed and reliability automation handled scale, humans handled precision.
The Result
Within 90 days of implementation, Grivio’s support and maintenance network became smarter, faster, and more predictable.
