Paper Title
Identifying and exploring areas in the Retail Industry that could apply machine learning Algorithms and suggesting algorithms
Article Identifiers
Authors
Sigma Nasit
Keywords
Machine Learning , Data, Retail Industry, Marketing, Inventory Management, Pricing, Data Analytics, Artificial Intelligence
Abstract
The retail industry faces many challenges such as : right product fit, small basket value, poor management of inventory, right recommendation systems etc, all these things are connected by a common thread i.e it is all human thinking. Thus these become a perfect fit for Machine Learning ( a subset of Artificial Intelligence ) that can mimic human thinking and thus provide predictions that can be used by businesses to optimize themselves. In this paper we will be discussing the common problems faced in the retail industry and in what area.We will be exploring how and which Machine Learning algorithms can be used for a specific problem, which will be the best fit ,some variables in performance with different algorithms and feasibility of these algorithms.
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How To Cite (APA)
Sigma Nasit (October-2023). Identifying and exploring areas in the Retail Industry that could apply machine learning Algorithms and suggesting algorithms. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 8(10), a571-a580. https://ijnrd.org/papers/IJNRD2310066.pdf
Issue
Volume 8 Issue 10, October-2023
Pages : a571-a580
Other Publication Details
Paper Reg. ID: IJNRD_206249
Published Paper Id: IJNRD2310066
Downloads: 000121988
Research Area: Engineering
Country: Thaltej, Ahmedabad, Gujarat, India
Published Paper PDF: https://ijnrd.org/papers/IJNRD2310066.pdf
Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2310066
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Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)
ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016
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This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition
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IJNRD is a Scholarly Open Access, Peer-reviewed, and Refereed Journal with a High Impact Factor of 8.76 (calculated by Google Scholar & Semantic Scholar | AI-Powered Research Tool). It is a Multidisciplinary, Monthly, Low-Cost Journal that follows UGC CARE 2025 Peer-Reviewed Journal Policy norms, Scopus journal standards, and Transparent Peer Review practices to ensure quality and credibility. IJNRD provides indexing in all major databases & metadata repositories, a citation generator, and Digital Object Identifier (DOI) for every published article with full open-access visibility.
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Paper Submission Open For: October 2025
Current Issue: Volume 10 | Issue 10 | October 2025
Impact Factor: 8.76
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