Meet Ur Planet

Main Menu

  • Home
  • Plane boarding
  • Tourist guide
  • Hotel accommodation
  • Travel booking
  • Vacation rentals

Meet Ur Planet

Header Banner

Meet Ur Planet

  • Home
  • Plane boarding
  • Tourist guide
  • Hotel accommodation
  • Travel booking
  • Vacation rentals
Travel booking
Home›Travel booking›Travel booking startup Tripbnb.com uses AI to quickly connect travelers and accommodation

Travel booking startup Tripbnb.com uses AI to quickly connect travelers and accommodation

By Meg P. Sousa
November 4, 2020
0
0


Post-pandemic business strategies

According to information from the US Travel Association, travel and accommodation reservation expenses in the United States was reduced by 41% and 77%, respectively, year-on-year due to COVID-19. Although pandemic control has dramatically reduced international travel, about 80% of U.S. travelers have still arranged domestic travel, and two-thirds of U.S. citizens have planned their annual vacation by the end of the year.

Many hotels having contacts with TRIPBNB express their needs adjust their hotel strategies from the consumer’s point of view to face the highly competitive accommodation market. Neither low-cost competitions nor massive ineffective advertising can be the long-term strategy for hotel operations. Understanding travel and competitors is the key to survival in a highly competitive market.

Gradual technological change is taking place in the travel industry. It aims to develop active operations (satisfaction) and long-term sponsorship (loyalty) in travel and the customer’s point of view decides both. TRIPBNB analyzes customer service feedback with AI. With a deep understanding of customer feelings and language, he captures truly valuable insights from ambiguous or metaphorical customer comments for travel companies to take effective countermeasures.

Untrustworthy online reviews

Many determine their travel destinations from the reviews of others, including locations, restaurants, or accommodations. People Maybe you knew that some comments are not the whole truth, some are offensive comments made by competitors, some are emotional releases of individuals and some are advertisements claiming how great the advertiser is . When they or they find out that everything is not as good as noted, the the mood for travel was ruined.

Access statistics show that 85% of US citizens plan to travel to meet their children’s travel expectations; 82% of US citizens believe travel can release stress and relax them; 81% of US citizens hope to keep fond memories of their travels. All of this data shows the importance of one thing: don’t let unreal evaluations or complaints or comments ruin the trips.

Vienna, Austria launched the “Unrating Vienna” campaign because of unreal comments. In the campaign, they used real customer reviews. For example, some have given the Leopold Museum a star and said in the comment “The paintings are disgusting”. Indeed, the museum has a collection of works by the most eminent Austrian artists, such as Egon schiele and Gustav Klimt, who are world famous.

According to statistics, 59% of American families determine their travel destinations (accommodation) and their planning (restaurants and activities) with travel websites (TripAdvisor, Booking, Expedia, trivago, etc.). Travelers certainly don’t want their trips to be ruined by such questionable comments. So how can we people judge the authenticity of the information contained in each of the 702 million comments without wastegvprecious time? After all, you’re going on a trip rather than a research project, right??

Travel booking startup Tripbnb.com performs in-depth data analysis, emotional analysis and semantic analysis of reviews on travel websites with AI to prevent travelers from getting those 702 million comments wrong. Direct analysis of big data is TRIPBNB’s strategy to eliminate unreal ratings, false advertisements and ambiguous comments. TRIPBNB provides travelers with scan results to save valuable time and have a great trip.

Tripbnb official website :https://tripbnb.com/

SOURCE Tripbnb.com


Related posts:

  1. Russian online air travel booking site OneTwoTrip raises $ 9 million after significant first year – TechCrunch
  2. Global forecasts until 2021 – 2027 – LSMedia
  3. China hits Dragon Boat Festival travel booking peak
  4. Mobile Travel Booking Market Size by Major Companies, Trends by Types and Applications, Forecast to 2028
Tagscovid pandemiclong termtravel bookingtravel industryunited states

Categories

  • Hotel accommodation
  • Plane boarding
  • Tourist guide
  • Travel booking
  • Vacation rentals

Recent Posts

  • Ice Poseidon explains his side of the infamous plane crash that led to Twitch’s ban
  • Beware of Claims of Financial Inclusion Amid Cryptocurrency
  • Why the middle seat passenger should have both armrests on the plane
  • Flip-flops and other clothing items that could get you banned from flying
  • Virginia Court Approved $489 Million in Aid for Victims of Illegal Internet Payday Loans

Archives

  • May 2022
  • April 2022
  • March 2022
  • February 2022
  • January 2022
  • December 2021
  • November 2021
  • October 2021
  • September 2021
  • August 2021
  • July 2021
  • June 2021
  • May 2021
  • April 2021
  • March 2021
  • February 2021
  • January 2021
  • December 2020
  • November 2020
  • October 2020
  • September 2020
  • August 2020
  • July 2020
  • June 2020
  • May 2020
  • April 2020
  • March 2020
  • February 2020
  • January 2020
  • December 2019
  • November 2019
  • October 2019
  • September 2019
  • August 2019
  • July 2019
  • June 2019
  • May 2019
  • April 2019
  • March 2019
  • February 2019
  • January 2019
  • October 2018
  • September 2018
  • August 2018
  • July 2018
  • June 2018
  • May 2018
  • March 2018
  • February 2018
  • October 2017
  • September 2017
  • August 2017
  • July 2017
  • June 2017
  • May 2017
  • January 2017
  • December 2016
  • September 2016
  • April 2016
  • March 2016
  • February 2016
  • November 2015
  • October 2015
  • August 2015
  • July 2015
  • June 2015
  • April 2015
  • June 2014
  • April 2014
  • March 2014
  • August 2013
  • July 2013
  • April 2013
  • September 2012
  • March 2012
  • February 2011
  • June 2009
  • Privacy Policy
  • Terms and Conditions