Provide your customers with personalized recommendations based on their interests, budget and travel dates. Keep your customers up to date in real-time, suggesting alternative options if they need to cancel or if disruptions occur.
Reduce your operational costs by leveraging chatbots to automate customer support and streamline communications like booking confirmations and itinerary updates.
Continue to provide value for your customers beyond their booking. Once a customer’s trip has begun, leverage AI to provide location-based suggestions or offer translation services. Automate CRM with post-trip communications to increase customer lifetime value.
Empowers your businesses to deliver exceptional customer experiences, streamline operations, and gain valuable insights for better decision-making.
Automate routine tasks, such as check-ins and reservations, freeing up staff to focus on providing high-quality service and improving operational efficiency.
Provide personalized recommendations and answer customer questions about destinations, pricing and availability.
Streamline the booking process and automate follow up communications.
Automate support tasks such as itinerary changes, cancellations, and payment issues, freeing your agents up for more bespoke support.
Provide even more value for your customers with location-based restaurant and activity recommendations based on their preferences.
Reduction in customer support costs
Increase in revenue with personalization
Improvement in customer satisfaction
Increase in actionable insights
If you’re interested in leveraging conversational AI to improve efficiency and customer experience for your travel business, DataLux can help. We provide tailored solutions to build intelligent chatbots with specialized domain knowledge and advanced capabilities to meet specific business needs.
We employ a simple, but bespoke approach focused on your needs. Our process involves these steps:
Start by booking a consultation call, where we will discuss your business and operational needs.
We then select and gather data for the project, designing the model and chatbot solution architecture.
We identify the best algorithm for the project, train it with test data, evaluate its performance, and then optimize the model to maximize predictive accuracy.
The model is released into a production environment. We continuously monitor the model for accuracy, detecting and handling data drift and retraining.