AI in Transportation
Reduce operating costs and optimize UX
Enhance travel with AI-powered personalization and insights
Leverage Generative AI, Computer Vision (CV), and Natural Language Processing (NLP) to analyze and interpret data from images, videos, text, and audio, offering a deeper understanding of traveler preferences and behaviors. This advanced approach allows for highly personalized experiences and operational improvements, maximizing customer lifetime value.
Innovate with Generative AI
Integrate generative AI across operations—from enhancing passenger experiences with personalized services to route optimization to improving maintenance protocols and safety measures.
Use LLMs with no vendor lock-in
Experiment with a range of state-of-the-art LLMs – without having to retool for each model.
Personalize Travel Experiences
Use generative AI to analyze passenger preferences and offer personalized services, entertainment options, meal choices, and travel recommendations. Enhance passenger satisfaction and loyalty by making each journey uniquely tailored to individual needs.
Speed up check-in and employee verification
Use facial recognition at the check-in counter to reduce passenger wait times and allocate crews to more valuable activities. Also, verify employee identification at security checkpoints to ensure personnel are in approved and designated areas.
Pre-empt issues and Improve safety
Use tablets or other devices to capture current views of engines, physical wear, or damage. Inspect and detect where maintenance is needed for repairs or defective part replacements, and spot possible malfunction issues proactively.
Reduce lost baggage
Manage baggage more efficiently and accurately from the moment a passenger checks-in to when it arrives at the destination. Count and capture bags as they are loaded on the aircraft. Use object detection to provide insight into how much luggage is loaded.
Use Computer Vision to Improve Visual Inspection: Leverage Computer Vision to detect and classify equipment anomalies faster and with greater accuracy, maximizing equipment uptime.
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