We help set competitive prices, increase customer satisfaction with virtual assistants, tailor travel recommendations, analyze traveler reviews, and enhance security.
Prices can be adjusted in real time based on past booking data, current demand, time until departure, competitor prices, and industry trends. This approach helps maximize revenue by optimizing the balance between supply and demand and setting prices that reflect current market conditions. Machine learning and AI help capture complex patterns in data and define the best occupancy/price balance.
Chatbots and virtual assistants can provide instant responses to questions about bookings, cancellations, and general travel information. As you integrate LLM APIs, you can also respond to natural language queries and offer multilingual communication, allowing your brand to serve a global audience without needing a large, diverse customer service team.
Recommender engines generate traveler profiles to track behavior, preferences, and demographics. You can tailor customer’s browsing experience or send customized promotions and offers to relevant users, increasing the likelihood of conversions.
Forecasting demand helps define optimal inventory levels and competitive pricing. Besides, by analyzing purchase patterns, you can identify opportunities to offer extra services or upgrades that customers might be interested in, boosting sales and guest satisfaction. Predicting which customers are likely to churn helps implement targeted retention strategies.
Analyzing customer reviews and feedback is crucial to understanding how customers feel about your services and spotting areas for improvement. We have experience building natural language processing and sentiment analysis tools that not only identify positive and negative feedback but also categorize it by specific amenities that customers like or dislike.
Processing data from various sources in real time helps quickly detect anomalies and suspicious activities. For example, a sudden booking from an unusual location or a significant increase in the number of bookings might be flagged as suspicious. We can also build a machine-learning model to spot fake customer reviews and ensure that the feedback you receive is trustworthy.
Allowing guests to check in by scanning their passports and IDs using self-service kiosks enhances convenience and reduces wait times. Computer vision techniques also help select the most attractive pictures for online listings, showcasing your offerings in the best light.