AI application in tourism is seen as the result of the increasing consumer interest in the individual and unique travel that is created by using the machine learning techniques of recommendation systems. Further, AI-chatbots and virtual assistant services increase consumer satisfaction by helping them in real-time, managing bookings, and responding to queries effectively. In addition, applications of dynamic pricing and revenue management include the use of artificial intelligence in assessing market trends, demand variability, and competitor’s prices, to help the firm update prices and make the highest possible revenues.
The AI in Tourism Market is expected to grow with a significant CAGR of 23.1% during the forecast period (2024-2032). Artificial intelligence technologies deployed in tourism services prioritize experience optimization while optimizing operational resources to generate better decision outcomes throughout the tourism sector. Travel and tourism businesses use AI-powered applications including customer service chatbots alongside machine learning recommendation engines, customer demand forecasting programs and facial recognition hardware. Travel companies along with hotels airlines and tourism boards can maximize their efficiency alongside increasing customer engagement and retail pricing optimization through automated big data processing with natural language capabilities.
On February 27, 2024, Huawei launched four intelligent solutions to accelerate intelligence in transportation i.e. Intelligent Transportation System 2.0 Solution, Smart Railway — Perimeter Detection Solution, Smart Airport — Fully Connected Fiber Network Solution, Smart Airport — Perimeter Security with Fiber Sensing Solution.
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