For Third Party Owners (TPOs) leasing solar systems to homes and businesses, reliability is everything. At 3PLX, we’re harnessing AI for predictive maintenance to keep TPO solar systems running at peak performance, reducing costs and ensuring customer satisfaction.

Reactive maintenance—fixing a failed inverter or shaded panel after the fact—can cost TPOs thousands in repairs and lost production. AI changes the game by analyzing real-time data from sensors, weather forecasts, and system history to predict and prevent issues.

3PLX’s AI delivers:

• Early Detection: Identifies subtle performance dips (e.g., 4% output loss) signaling inverter wear or debris buildup.
• Smart Scheduling: Plans maintenance during low-production windows, minimizing energy loss.
• Cost Savings: Cuts repair costs by up to 40% and boosts annual yield by 2-5%.

For a 50 kW commercial TPO system, AI flagged a looming racking issue 15 days early, saving $2,500 in emergency fixes and 1,000 kWh. In a 5 kW residential lease, predictive cleaning avoided a 15% efficiency drop, saving $150 yearly.

“AI predictive maintenance is a win for TPOs and their customers,” said JR Mejia, CEO of 3PLX. “It’s about uptime and affordability—contact us at 561.800.3559 or info@3plx.net to explore how we make it happen.”

With 3PLX’s AI, TPOs achieve 99%+ reliability, reinforcing solar’s value proposition and driving adoption across markets.