Hopper : success of a travel app startup / Arpita Agnihotri, Saurabh Bhattacharya.

Format:

Book

Author/Creator:

Agnihotri, Arpita, author.

Bhattacharya, Saurabh, author.

Series:

SAGE Business Cases.

SAGE Business Cases

Language:

English

Subjects (All):

Hopper Inc--Case studies.

Hopper Inc.

Mobile apps.

Big data--Economic aspects--Case studies.

Big data.

High technology industries--Case studies.

High technology industries.

Airlines--Data processing--Case studies.

Airlines.

Physical Description:

1 online resource.

Other Title:

Hopper

Place of Publication:

London : SAGE Publications: SAGE Business Cases Originals, 2020.

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.

Notes:

Includes bibliographical references and index.

Description based on XML content.

ISBN:

1-5297-0386-7

9781529703863

OCLC:

1141314340