AI/NLP Insights




AI/NLP Insights

Business Problem

A travel recommendation engine wants to provide Travel Personalization and Review Intelligence solutions that enable hotels, hospitality consultants and OTAs to measure and enhance their products & services, improve their reputation and promote guest satisfaction.  


  • Aggregate and analyze online customer reviews to recommend meaningful and actionable insights for the hospitality industry.
  • Constantly rank reviews from different sources with varying weightage.


  • Natural Language processing in different languages.
  • Building hospitality taxonomy and constantly training models.


  • Designed, built, and operated core Machine Learning and Lexical Analytics platform using Stanford NLP and custom algorithms.
  • Build region specific overrides and multi-tier taxonomy for better accuracy.
  • The underlying ML-Ops platform provides all the necessary tools for data scientists to put their best model into production.
  • Implemented ML models and Deep learning models with experimentation.

Business Outcomes

  • 13% : Increase in Hotel occupancy.

  • 30% : Recommendation relevancy.

Tech Stack

  • Custom Algorithms 
  •  Stanford NLP SciKit 
  • PyTorch
  • Keras 
  • TensorFlow
  • OpenCV
  • Python
  • Docker
  • Data Visualization
  • custom charts 
  • Casandra 
  • AWS Native