Paper Title

Implementing Machine Learning Models in Enhancing Customer experience

Article Identifiers

Registration ID: IJNRD_223162

Published ID: IJNRD2406078

DOI: Click Here to Get

Authors

Alan Shama M , Kavitha K

Keywords

CRM, FMCG, customer engagement, sales forecasting, inventory management.

Abstract

Artificial Intelligence (AI) and Machine Learning (ML) have revolutionized Customer Relationship Management (CRM) in the Fast-Moving Consumer Goods (FMCG) and food industries. This paper explores the impact of AI-driven CRM on customer engagement, sales forecasting, inventory management, personalized marketing, customer service, and future trends. AI's ability to enhance customer insights, personalize marketing, optimize sales forecasting and inventory management, and improve customer service through chatbots is discussed. Emerging trends such as hyper-personalization and ethical AI principles are highlighted. While AI-enabled CRM holds promise for growth and enhanced customer experiences, businesses must address challenges related to data privacy, security, and ethics to build trust with customers. As AI-driven CRM evolves, FMCG and food businesses have an opportunity to innovate, optimize operations, and drive success in a dynamic digital landscape.

How To Cite

"Implementing Machine Learning Models in Enhancing Customer experience", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.9, Issue 6, page no.a782-a787, June-2024, Available :https://ijnrd.org/papers/IJNRD2406078.pdf

Issue

Volume 9 Issue 6, June-2024

Pages : a782-a787

Other Publication Details

Paper Reg. ID: IJNRD_223162

Published Paper Id: IJNRD2406078

Downloads: 000121126

Research Area: Management

Country: Thoothukudi , Tamilnadu, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2406078.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2406078

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