3 Weeks
NLP Model Development
Built custom-trained NLP models to understand and process travel-related queries with high accuracy.
This project focused on building a conversational AI chatbot to serve as a travel assistant for a software company’s end client—a travel agency. Distinct Cloud Labs was tasked with developing robust NLP models, ensuring seamless CRM and booking system integration, and delivering a chatbot capable of handling high volumes of traffic without performance loss. The goal was to automate inquiries, personalize recommendations, and streamline bookings—all while maintaining security and scalability.
Reduced Operational Costs: Replaced a large chunk of manual support with intelligent automation.
Faster Response Time: Delivered instant answers and booking confirmations.
Higher Booking Conversions: Personalized interactions helped convert more queries into actual bookings.
Peak-Time Stability: Scalable infrastructure maintained consistent performance even during high-load periods.
Data Security Compliance: Safeguarded sensitive customer data across systems.
Handling varied and complex user queries using NLP was technically demanding. Additionally, ensuring a seamless bridge between the chatbot and legacy systems while maintaining scalability and security was crucial. The architecture had to dynamically handle thousands of users during seasonal peaks.
3 Weeks
Built custom-trained NLP models to understand and process travel-related queries with high accuracy.
3 Weeks
Connected chatbot to the client’s CRM and booking platforms to enable real-time updates, queries, and bookings.
2 Weeks
Designed cloud-based architecture using AWS services to handle concurrent users during peak periods without degradation.
3 Weeks
Conducted extensive testing and optimization to ensure chatbot responsiveness, speed, and security compliance.
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