GridTrack is an IoT platform for managing energy infrastructure in real time. It tracks utility poles, tools in service trucks, and inventory – all in one place.
IoT Platform for Utility Companies
A functional IoT platform as a service to provide real-time analytics, predictive maintenance of power grids, on-time monitoring of available tools, and tracking of field crews.
Industry
IoTaaS
Team Size
3 Members
Country
🇺🇸 United States
Project Summary
Tech-Stack
FigmaEngagement Model
Project Development
Very very good results! Highly exceeded my expectations. Great communications and a highly capable team. Highly recommend.
Steve
President
Project Goal
The goal was to create an MVP for an IoT platform as a service. The client had a unique idea to combine smart sensors, utility poles, real-time data, and AI-powered analytics into one smart system that other utility companies could use. The product had to support predictive maintenance, automatic issue detection, inventory monitoring, and better planning of material usage and technician work.
We were asked to help with UX analysis and full product design.
Solution
We started with a deep UX audit to understand how different types of users – technicians, dispatchers, and managers – would use the platform. The interface was designed around three main components:
- Interactive maps that show the location of utility poles, service trucks, tools and warehouses.
- Custom dashboards with KPIs, tool calibration statuses, activity levels, scheduling and more.
- One-click resource management for easy access to data about trucks, tools, and inventory – with smart filters and visual status tags.
One of the biggest UX challenges was to organize a large amount of data so that it was not overloaded. We solved this by designing a clear, modular interface and prioritizing key metrics on each screen.
The visual design was minimalist with a clear hierarchy, which made it easy for new users to learn the system quickly.
Result
We designed a clean, intuitive interface for an IoT MVP – ready for scale and future AI integration. Our team was responsible for the full UX research and UI design.
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