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Follow on Google News | ![]() Adelman Travel Partners with OLSET to drive customer satisfactionOLSET Inc. continues to pioneer personalization tech in travel.
By: OLSET Inc. Adelman has long been interested, as many TMCs are, in offering personalized recommendations to their travelers. What convinced Adelman to utilize OLSET's tools was the simple plugin API feature that was recently launched by the company. The detailed sentiment data that OLSET provides is being used by Adelman to provide travelers data that helps guide them to which hotels have the best features for their specific preferences (e.g. do people say good things about the Wifi, fitness center, room service, etc.), and providing them information on what they should expect when they check into their hotel based on recent review sentiments. Ivan Imana, CIO of Adelman said, “We are very excited to integrate OLSET's sentiment data. We are the first TMC that can offer our customers unique insights into the good and less good features of every hotel. Historically, the data available about hotels has been quantitative-- The excitement was echoed by OLSET CEO Gadi Bashvitz when he said, “We are honored to have Adelman Travel, a company famous for the excellent service they provide to their customers, as a partner. We have been building our sentiment database for almost three years and with more than 500,000 hotels, 50 million traveler reviews and around 200 million traveler sentiments categorized. OLSET database is now the largest single bank of traveler sentiments in the world. For nearly every hotel in the world, we now know what travelers really think about more than 40 features and we can provide this data to OTAs, TMCs and other travel industry providers in an easy to consume API which takes very little time to integrate. We are looking forward to a continued successful partnership with Adelman travel and a few other partners that will be announced soon.” Adelman set out to use the OLSET APIs to save their travelers the need to go and crosscheck reviews simultaneously while booking. Now the customer can benefit from this massive database of traveler sentiments, get all their information in one place and make a better, more informed travel booking decisions. End
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