The Challenge
Designing a centralized data analytics platform for various business units, thereby enabling efficient decision making for business users
The Solution
An AI-powered omnichannel travel chatbot was developed to provide personalized, efficient, and seamless experiences for both travelers and travel businesses.
Key features include:
- A Conversational AI engine to understand user’s behavior for providing better services through personalization and smart replies.
- A recommendation engine, using data like travel preferences and visitor interactions, to generate discounts and offers for previous and existing customers to upsell and cross-sell products. These discounts could be sent over chatbot or email.
- An intelligent insights dashboard for management to understand user preferences and bookings, enabling informed decision-making.
- A content management system where content and marketing teams could easily add new activities, features and discounts.
- A user-friendly software development kit (SDK) allowing seamless integration into travel platforms and booking sites.
- Deployment on AWS cloud, ensuring reliability and scalability.
The Results
- Connected children and their parents with fun activities in 200 cities.
- Personalized travel experiences and efficient trip planning.
- Provided upselling and cross-selling opportunities for travel partners.
Technologies Used
PostgreSQL
vue.js
django
AWS Sage Maker
Python
AWS RDS
AWS S3 Bucket
AWS EMR
AWS EC2
Impact by the NUMBERS
18K+
public users engaged
6k+
registered users
2m+
queries answered