Paper Title

DYNAMIC PRICING USING MACHINE LEARNING : A STUDY ON HOTEL BOOKINGS

Article Identifiers

Registration ID: IJNRD_218387

Published ID: IJNRD2404373

DOI: Click Here to Get

Authors

Vineeth Matta , Naveen Kumar V

Keywords

Abstract

Dynamic pricing is a strategic approach employed by businesses to adjust prices of goods or services in real-time, considering factors such as demand, competition, and market conditions. This strategy enables companies to maximize profits and maintain competitiveness amidst constant change. Machine learning has emerged as a pivotal tool in facilitating dynamic pricing strategies, swiftly analyzing vast datasets to inform pricing decisions accurately. Machine learning algorithms process historical sales, customer behavior, market trends, and competitor pricing to develop predictive models. These models aid businesses in determining optimal price points for their offerings. By harnessing machine learning, companies automate pricing decisions, enhance efficiency, and swiftly respond to market dynamics, thereby boosting revenue and profitability. A notable advantage of employing machine learning in dynamic pricing is its capacity for continual learning and adaptation to evolving market conditions and consumer preferences. Moreover, machine learning uncovers hidden data patterns, enabling more informed pricing decisions than traditional methods. Additionally, machine learning facilitates personalized pricing for individual customers based on past purchase behavior and preferences. This tailored approach enhances customer satisfaction and loyalty, fostering increased retention and lifetime value.

How To Cite

"DYNAMIC PRICING USING MACHINE LEARNING : A STUDY ON HOTEL BOOKINGS", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.9, Issue 4, page no.d658-d668, April-2024, Available :https://ijnrd.org/papers/IJNRD2404373.pdf

Issue

Volume 9 Issue 4, April-2024

Pages : d658-d668

Other Publication Details

Paper Reg. ID: IJNRD_218387

Published Paper Id: IJNRD2404373

Downloads: 000121192

Research Area: Management

Country: Visakhapatnam, Andhra Pradesh, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2404373.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2404373

About Publisher

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJNRD (IJ Publication) Janvi Wave

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Call For Paper

Call For Paper - Volume 10 | Issue 8 | August 2025

IJNRD is Scholarly open access journals, Peer-reviewed, and Refereed Journals, High Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool), Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI) with Open-Access Publications.

INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (IJNRD) aims to explore advances in research pertaining to applied, theoretical and experimental Technological studies. The goal is to promote scientific information interchange between researchers, developers, engineers, students, and practitioners working in and around the world. IJNRD will provide an opportunity for practitioners and educators of engineering field to exchange research evidence, models of best practice and innovative ideas.

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Important Dates for Current issue

Paper Submission Open For: August 2025

Current Issue: Volume 10 | Issue 8

Last Date for Paper Submission: Till 31-Aug-2025

Notification of Review Result: Within 1-2 Days after Submitting paper.

Publication of Paper: Within 01-02 Days after Submititng documents.

Frequency: Monthly (12 issue Annually).

Journal Type: International Peer-reviewed, Refereed, and Open Access Journal.

Subject Category: Research Area