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January 1, 2026INTERNATIONAL JOURNAL OF RESEARCH AND ANALYTICAL REVIEWSOpen Access

AI Powered Tours and Travel Cost Estimator and Booker

Bhushan Suresh Ahire Nandini Deepak Chavan Girish Dhondu Chaudhari Shubham Sudhir Jakate Prof. N. L. Bhale

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Key Points

The aim is to assess the effectiveness of an AI tool in estimating travel-related costs.
Developed an AI-based cost estimator for travel and tours.
Conducted evaluations based on user-generated content.
Analyzed the cost-effectiveness of the booking process.
The AI tool reduced travel cost estimation errors by 15%.
Users reported an 80% satisfaction rate with booking convenience.
The tool is projected to save users an average of INR 200 per booking.

Implication

Evaluates an AI tool for estimating travel costs in the tourism sector, indicating potential cost savings.

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Cite This Study

Ahire et al. (2026) studied this question.

synapsesocial.com/papers/6a23bb9a71a5da9775e77175 https://doi.org/10.56975/ijrar.v13i2.335628

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