Background
Before implementing the app, our client faced challenges in streamlining inspections, reducing fraud, and enhancing customer experiences. Manual inspection processes were time-consuming and prone to errors, while fraudulent activities were difficult to detect. Additionally, the lack of a robust system for customer interaction hindered overall satisfaction and efficiency.
Approach to solution
The company conducted market research and received proposals from several contractors. The following criteria were considered during the research:
As a result of the research, the company selected Computools as the contractor to develop and implement a mobile app for meter reading.
Computools role
Our team of specialists leveraged their expertise in AI and computer vision technologies to design a mobile app powered by neural networks. We focused on training the neural network for image processing and implementing geolocation features to enhance data validation. Additionally, we ensured a state-of-the-art design and intuitive interface for optimal user experience.
Key decisions and outcomes
The successful implementation of our solution transformed our client’s daily operations and significantly improved customer experience. The application’s interface provided easy access to essential information, such as meter readings and consumption history, enabling efficient management of multiple tariffs and increased revenue. Key issues, such as auto-recognition of meter serial numbers and readings, were addressed through neural network training and geolocation implementation. Overall, our solution empowered our client to enhance operational efficiency, minimise fraud, and deliver exceptional service to their customers.
Computools was selected through an RFP process. They were shortlisted and selected from between 5 other suppliers. Computools has worked thoroughly and timely to solve all security issues and launch as agreed. Their expertise is impressive.