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AI Chatbot Development for Software Company
Summary

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.

Business Impact

  • 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.

Tech challenges

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.

Timelines
1

3 Weeks

NLP Model Development

Built custom-trained NLP models to understand and process travel-related queries with high accuracy.

2

3 Weeks

Integration with CRM & Booking Systems

Connected chatbot to the client’s CRM and booking platforms to enable real-time updates, queries, and bookings.

3

2 Weeks

Scalable Architecture Implementation

Designed cloud-based architecture using AWS services to handle concurrent users during peak periods without degradation.

4

3 Weeks

QA & Performance Optimization

Conducted extensive testing and optimization to ensure chatbot responsiveness, speed, and security compliance.

Case Study Info

  • Industry:
    Travel Tech / Conversational AI
  • Stack:
    Python, TensorFlow, Dialogflow, Node.js, MongoDB, REST APIs, AWS Lambda, CRM & Booking System APIs

Highlights

  • Customer support automation reduced operational costs
  • Chatbot scaled effectively during peak booking periods
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