Limit search to available items
Book Cover
E-book
Author Agnihotri, Arpita, author

Title Hopper : success of a travel app startup / Arpita Agnihotri, Saurabh Bhattacharya
Published London : SAGE Publications: SAGE Business Cases Originals, 2020

Copies

Description 1 online resource
Series SAGE Business Cases
SAGE Business Cases
Summary The case analyzes the success factors of a mobile-only airfare prediction app introduced in early 2015 by a travel startup, Hopper Inc. Hopper leveraged big data and predictive analytics to inform its app users of probable airfares for as much as 12 months from the date of app use. The app predicts the optimal time to book a ticket to maximize savings. As Hopper expanded, it partnered with several airline companies worldwide. Leveraging artificial intelligence and machine learning, Hopper also expanded its services to other areas such as hotel booking, which helped app users make decisions on their vacation destinations. Nevertheless, by 2018 competitors such as Expedia also began using predictive analytics for a range of their services. The case encourages students to understand the power of big data and how a firm such as Hopper can compete and expand by leveraging big data
Bibliography Includes bibliographical references and index
Notes Description based on XML content
Subject Hopper Inc. -- Case studies
Mobile apps.
Big data -- Economic aspects -- Case studies
High technology industries -- Case studies
Airlines -- Data processing -- Case studies
Airlines -- Data processing
High technology industries
Mobile apps
Genre/Form Case studies
Case studies.
Études de cas.
Form Electronic book
Author Bhattacharya, Saurabh, author
ISBN 9781529703863
1529703867