Intelligent forecasting for the energy sector
Tigo Energy
From
Israel
Sector
Solar Energy
Timeframe
2 Years
Service
User Research, Design System, UX Design
Predict+ uses artificial intelligence and machine learning to automatically forecast electricity consumption and generation — both at the level of individual endpoints and aggregated energy portfolios. The solution is tailored to the needs of utilities, independent power producers (IPPs), and grid planners
Each client comes with distinct requirements — from how data should be displayed to the types of forecasts or use-case scenarios they need. The product had to adapt to each case individually. My task was to design a flexible interface that could be customized without redesigning the platform for every client from scratch.
Challange. Unique needs — unique functionality
I created a scalable modular design system that allows pages to be composed from reusable building blocks, making it easy to tailor the platform to a wide variety of client types. This enabled:
- rapid assembly of pages with different levels of complexity,
- fast scalability for new features,
- easier maintenance and future updates.
Modular design system
Designing for Predict+ challenged me to balance flexibility with clarity — building a system that could scale across diverse client needs without adding complexity. By focusing on modularity and usability, I created an interface that empowers energy professionals to work smarter, not harder.
