Apollo - Applied AI and ML Platform
The Challenge
Agxio, a leading innovator in advanced technology solutions, faced a pressing challenge in optimising data analytics processes. Their existing methods for evaluating critical data and developing predictive models were time-consuming, heavily reliant on human intervention, and limited in scalability. They recognised the need for an innovative solution to transcend conventional approaches, providing swift, unbiased, and exhaustive insights derived from diverse data sources.
The Approach
Communere collaborated with Agxio to develop a groundbreaking AI-based technology named Apollo. Apollo was designed to operate at a scale beyond human capacity, leveraging complex algorithms to rapidly process a broad spectrum of structured and unstructured data, including numerical, textual, and image data. This transformative technology eliminated the need for heuristic methods, significantly reducing the human interactions required for effective decision-making.
Transition to Augmented IT Staff
With the successful completion of the project, the client opted to streamline their team. Communere retained two developers, working as augmented IT staff alongside the client's team, ensuring ongoing support and development.
The Result
The final product is a testament to the successful collaboration between Communere and the client. It provides accurate routing and scheduling for electric, petrol, and diesel fleets, revolutionising fleet planning in the context of electric vehicles. The software's ability to account for various factors impacting battery consumption has made it an invaluable tool for efficient and sustainable vehicle routing.