One stop software solution for transportation needs
GamayunAI helps Road & Railway transportation, Air transportation companies and others deploy data-driven use cases where monitoring and predicting are of most important value i.e. asset failure risk, addressing inefficiencies, and enhancing operational visibility. It can predict traffic patterns and optimize vehicle routing, reducing congestion and improving efficiency.
In predictive maintenance, AI can forecast equipment failures or maintenance needs, allowing proactive measures to prevent disruptions. For customer service, AI chatbots and virtual assistants can provide timely answers and information to customers. In vehicle chartering, AI-driven Transportation Management Systems (TMS) streamline the booking process for private group transportation, making it faster and more efficient.
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Smart transportation
Fields of expertise
Mobility as a Service (MaaS)
MaaS for bikes transforms urban transportation by integrating bike rentals into a seamless, app-based platform. Enhanced with real-time tracking, route optimization, and maintenance alerts, MaaS for bike charters fosters a more efficient, eco-friendly urban mobility ecosystem. Users can locate, reserve, and unlock bikes via a single interface, promoting sustainable travel. The MaaS platform also includes bus schedules across Slovenia and InterCity international routes.
Predictive maintenance
AI can be used to predict when equipment is likely to fail or need maintenance using data from various sources and IOT devices, allowing transportation companies (i.e. railways) to proactively address potential issues before they cause disruptions (i.e. Incident Response Management).
Vehicle chartering
Major step forward in the world of private group transportation. With real-time availability and tracking, dynamic pricing, instant booking, and a commitment to accessibility, accountability, and transparency, TCM is poised to revolutionize the charter vehicle industry and provide a better experience for customers and operators alike.
Traffic prediction and optimization
AI can be used to get additional insights helping optimise traffic patterns and routing of vehicles, reducing congestion and improving efficiency.
Customer service
AI can be used to provide customer service, by answering questions and providing information to customers through chatbots or virtual assistants.
