Customer Relationship Management and Artificial Intelligence : Revolutionizing Business-Customer Interactions

Customer Relationship Management (CRM) has become integral to contemporary business strategies, focusing on fostering long-term customer loyalty and satisfaction. The advent of Artificial Intelligence (AI) has transformed CRM into an intelligent system that utilizes data for personalized and proactive customer engagement. This paper provides a comprehensive analysis of the integration of AI into CRM, exploring key technologies such as natural language processing, machine learning, and predictive analytics. The literature reviewed emphasizes the empowerment of task automation, enhancement of customer interactions, and data-driven decision-making. Additionally, the paper addresses challenges related to ethical considerations and data privacy, while also discussing potential future trends in the field. Real-world examples of AI-driven CRM implementations are presented to illustrate practical applications.

Authors

Publication Details

Journal
Nanotechnology Perceptions
Published
2024-11-01
DOI
https://doi.org/10.62441/nano-ntp.vi.3667
Citations
1
Primary Topic
Big Data and Business Intelligence
Type
article
Field-Weighted Citation Impact
0.53
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Customer Relationship Management and Artificial Intelligence : Revolutionizing Business-Customer Interactions

Hemant Patil, Muh Rizal S, Somashekhar I. C, Dr.Prasad H K et al.
1 citations
Nanotechnology Perceptions
Big Data and Business Intelligence
0.53
article

Customer Relationship Management and Artificial Intelligence : Revolutionizing Business-Customer Interactions

Hemant Patil, Muh Rizal S, Somashekhar I. C, Dr.Prasad H K, Dr Rakesh D, P Prakruthi
article en
1 citations

Abstract

Customer Relationship Management (CRM) has become integral to contemporary business strategies, focusing on fostering long-term customer loyalty and satisfaction. The advent of Artificial Intelligence (AI) has transformed CRM into an intelligent system that utilizes data for personalized and proactive customer engagement. This paper provides a comprehensive analysis of the integration of AI into CRM, exploring key technologies such as natural language processing, machine learning, and predictive analytics. The literature reviewed emphasizes the empowerment of task automation, enhancement of customer interactions, and data-driven decision-making. Additionally, the paper addresses challenges related to ethical considerations and data privacy, while also discussing potential future trends in the field. Real-world examples of AI-driven CRM implementations are presented to illustrate practical applications.

Nanotechnology Perceptions
Peace, Justice and strong institutions
Openalex Percentile: Top 23%
Big Data and Business Intelligence
0.53
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.