The Secrets of Personalization and Price Optimization at tiket.com

09/20/2024

Tired of scrolling through endless hotel options? tiket.com is revolutionizing travel with AI that personalizes your experience. Looking for a hotel that sparkles with cleanliness? tiket.com can find it. Dreaming of an Instagram-worthy getaway that’ll have your friends green with envy? tiket.com has you covered. Leveraging cutting-edge Artificial Intelligence (AI) and Machine Learning (ML), they're transforming the way you travel.

Irvan Bastian Arief, VP, Data Science, ML Engineering & Tech Infrastructure Platform, shares his insights into how the company is using cutting-edge technologies like Natural Language Processing (NLP) and dynamic pricing strategies. These advancements have improved their accuracy in determining customers’ purchasing habits and conducting forecasts for demand seasons, further empowering the OTA in making more informed decisions on their digital marketing efforts. But tiket.com's approach goes beyond just technology. Just in August, tiket.com expanded its partnership with Amadeus, enhancing their innovative solutions, From advanced payment technology to biometric hardware, they are commited to ensure a seamless experiences at airports and border controls, while maintaining the highest standards for data privacy and security.



So, find out what exactly is tiket.com doing to revolutionize travel,

  • AI-Powered Hotel Recommendations: tiket.com goes beyond basic filters. Their Apus NLP Smart Engine analyzes reviews, performing sentiment analysis for increased satisfaction rates and ultimately driving conversions
  • Dynamic Pricing Strategy: providing the most competitive rates according to a myriad of factors such as seasonality, booking period, even the type of hotel etc.
  • Smart Ranking that Saves Time: How the continuous learning algorithm categorises and ranks hotels based on one's unique preferences 
  • Privacy First: Tiket.com prioritizes data security by encrypting Personal Identifiable Information (PII) and focusing on user behavior analysis rather than personal details.

After the panel on “The journey of Tiket’s transformation: How artificial intelligence and advanced science are shaping the travel industry”, there were doubts around the conservative usage of AI and how companies should think about privacy concerns. Irvan shared that by preventing any usage of customers’ PII data, this allows a conversative use of AI-powered tools without breaching any user privacy concerns. Additionally, he mentions that the smart text prediction that Tiket.com leverages on for sentiment analytics can reach up to 99% of accuracy for some categories and an average of above 95% for most cases.

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