A leading US-based parking management company faced significant operational inefficiencies due to its reliance on third-party ALPR (Automatic License Plate Recognition) solutions that were difficult to integrate with backend systems. These challenges resulted in frequent validation errors, manual interventions, and poor user experience for parkers.
To achieve this, ekSource engineered a Virtual Coaching Assistant, leveraging Retrieval-Augmented Generation (RAG) architecture, fine-tuned AI models, and a secure conversational interface. The assistant delivered expert-backed insights on leadership challenges, operational decisions, and strategic planning—powered by context-aware AI and a document-grounded response pipeline.
By combining ekSource’s AI engineering expertise, document extraction framework, and experience with secure cloud deployments, the solution was delivered faster and at a lower cost than traditional alternatives, while enabling scalable, expert-driven decision support.