Today majority of travel-related bookings are done online and this extent of digitization is creating a large amount of transactional data which can be used to enhance customer satisfaction and improve earnings.Customer Loyalty has been a challenge in online travel business and hence is forced to innovate and cater better services.One of the emerging best practices is to use analytics to understand Customer’s preferences from past transactions,and to offer tailor-made solutions.

It is also known that the travel industry is vulnerable to seasonal fluctuations in demand.But there lies a huge opportunity in making sense of microscopic fluctuations like hourly demand,regional demand etc. using big data analytics.Another important tool is predictive analytics,used for providing insights into future demand based on past transaction data.Companies can now estimate the demand for certain routes/destinations over the next few months and plan their offerings accordingly.

A potential traveler leaves behind large quantity data from multiple channels and devices at various stages like research, planning, price search, comparison, booking, cancellation, feedback etc. Big data analytics has great potential to bring in actionable business insights on the volume, variety, velocity and veracity of travel data.

- Davenport, Professor -


  • Structuring advertisement campaign and measuring the outcome

    A promotional plan with measuring metrics is an important marketing tool when it comes to launching a new service/product.

  • Social media Analysis

    The vast majority of modern consumers are sharing their travel experiences on social media, so GCT tracks consumers' likes, shares and retweets which gives an exhaustive analysis.

  • Pricing analytics

    GCT Analytics can effectively replace traditional manual fare analysis with smart automation by gathering, indexing, filtering and analysing existing and real-time data from multiple sources.

  • Sales optimization

    We take an “explore and refine approach” to optimization to see the greatest impact.

  • Personalized customer experience

    We personalize the customer experience by presenting alternative scenarios based on the customer’s profile and on site behaviour.

  • Recommendation engine

    We provide recommendation engine that helps discover new experiences, based on one’s budget and interests.





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