We combine predictive maintenance with railway asset management ERPs to identify potential failures before they happen, decreasing downtime, lowering costs, and making journeys safer.
Our automated ticketing and fare collection solutions are seamlessly integrated with legacy transport ERPs, making transactions more efficient, fraud reduction possible, and passenger convenience improved.
We augment data protection with automation being incorporated into transport data management systems to ensure security regulation compliance and protection of passenger data.
To optimize train and bus frequency and reduce traffic jams and inefficiencies during peak hours, our AI-powered scheduling automation works in tandem with traffic management ERPs.
We embed IoT-empowered monitoring into existing public transport ERPs to obtain real-time information regarding the performance of the network, the health of infrastructure, and service outages.
Our digital twin technology is integrated with scheduling and ERP systems to mimic and optimize routes, minimizing delays, optimizing resource utilization, and maximizing passenger experience.
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