Client: Travelino A.I., Palermo, Italy
Live Site: https://travelino.it
Objective: Enhance forecasting, automate bookings and improve customer interaction using AI.
Tech Stack: Python, Scikit-learn, TensorFlow, Prophet, SpaCy, OpenAI, Tableau, Flask, Node.js
Overview:
Tourism operators faced difficulty with seasonal demand, customer service lag, and planning inefficiencies.
Challenge:
Low forecast accuracy, reactive pricing models, and outdated CRM systems.
Solution:
- Season Strategy AI using time-series + regression for price/demand prediction.
- NLP Chat Assistant for 24/7 customer service in multiple languages.
- HR dashboard with smart analytics for performance tracking.
- Full CRM & GDS integration.
Key Results:
- Forecast accuracy increased from 65% → 90%+
- Booking conversion rate improved 40%+
- Customer response time reduced from 24h → <1 min
