Use KePSLA Travel Recommendation Engine to empower online shopping experience and inventory merchandising

Online Travel businesses can now leverage on global customer sentiments to offer the right match of hotels based on personas, customer preferences and nature of trip.

Personalize hotel booking process and boost customer decisions

Enhance hotel search and book processes through our integrated travel recommendation platform that drives and simplifies decision making based on customer reviews and sentiment values.

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Core Features

Persona Based Search

Customer reviews and sentiment scores are segmented based on booker types & personas to deliver the right fit of hotel inventory and preference match.

Sentiment Analysis & Recommendation Algorithms

Big data of customer reviews aggregated globally are processed by the Travel Recommendation Platform to generate scores and values for a very large and diverse set of hospitality parameters that act as promoters or detractors for travel recommendations and rankings of hotels.

Semantic Search

Deploy semantic suggestions based on customer review verdicts, recommendations & keyword usage frequency to offer intuitive search options.

Global Review Summaries

Well defined review summaries in our Hotel Recommendation Engine separating the good and bad mentions gives the customer a clear cut decision making lead and an educated shopping experience.

Quality Score Widget

Display the KePSLA Quality Widget on your site. This shows a single quality score from data taken from over 140 different content sites written by your customer.

Multiple Search Parameters

Search can be driven by themes, gender, traveller type, age etc.

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Review Intelligence

Feedback Management