CLOUD COMPUTING AND GENERATIVE AI: TRANSFORMING CRM ACROSS INDUSTRIES DOI Open Access

Chandrasena Cheerla

Published: Dec. 26, 2024

This technical article examines the transformative impact of cloud computing and generative artificial intelligence (AI) on Customer Relationship Management (CRM)systems across diverse industries.Integrating these technologies fundamentally reshapes customer engagement strategies, enabling organizations to achieve unprecedented levels personalization, automation, service delivery optimization.

Language: Английский

THE EVOLUTION OF MODERN CRM SYSTEMS: A TECHNICAL DEEP DIVE DOI Open Access
Gaurav Gupta

INTERNATIONAL JOURNAL OF COMPUTER ENGINEERING & TECHNOLOGY, Journal Year: 2025, Volume and Issue: 16(1), P. 717 - 733

Published: Jan. 17, 2025

This technical article explores the transformative evolution of Customer Relationship Management (CRM) systems, examining their progression from traditional database-driven platforms to sophisticated, AI-enabled ecosystems.It investigates key technological advancements including artificial intelligence and machine learning integration, omnichannel architecture implementation, workflow automation, analytics capabilities, security frameworks.The demonstrates how modern CRM systems have revolutionized customer engagement through enhanced The Evolution Modern Systems: A Technical Deep Dive https://iaeme.com/Home/

Language: Английский

Citations

0

Deciphering the Mind of the CEO: Is Artificial Intelligence a Valuable Investment in Customer Acquisition? DOI
Luis-Alfonso Maldonado-Canca, Juan-Pedro Cabrera-Sánchez, Sebastián Molinillo

et al.

International Journal of Human-Computer Interaction, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 18

Published: March 5, 2025

Language: Английский

Citations

0

Optimizing customer relationship management through AI for service effectiveness: Systematic literature review DOI Creative Commons

Agus Hartanto,

Veronica Veronica, Danang Prihandoko

et al.

Applied Computer Science, Journal Year: 2025, Volume and Issue: 21(1), P. 153 - 163

Published: March 31, 2025

The current technological evolution has resulted in changes the global business landscape. have an organization's processes changing due to increased customer expectations that also changed service standards with management tools. adoption of new technologies, namely artificial intelligence, become innovative approach strategy Customer Relationship Management for organizational sustainability. This article aims provide literature about integrating AI into CRM using a systematic review bibliometric analysis explore latest trends development influenced by technology and benefits challenges faced organizations from technology. study is essential any industry adopts organizations. research was conducted reading analyzing 25 articles papers related CRM. studies will be processed Vos Viewer tool visualize found AI-CRM increasing operational efficiency effectiveness, interaction, personalizing services. However, face require aligning AICRM models their specific needs, cultural transformation, balancing roles responsibilities humans within operations. In conclusion, thorough understanding impact purpose role needed, conditioned situation, maximize minimize risks organization.

Language: Английский

Citations

0

Next-Gen College CRM: Leveraging BERT for Student Feedback Classification in a Full Stack Framework DOI
D. Srinivasa Rao, Vimal Kumar,

Puvvala Jogeeswara Venkata Naga Sai

et al.

Algorithms for intelligent systems, Journal Year: 2025, Volume and Issue: unknown, P. 41 - 61

Published: Jan. 1, 2025

Language: Английский

Citations

0

Enhancing Customer Relationships With AI DOI

Kirti

Advances in computational intelligence and robotics book series, Journal Year: 2025, Volume and Issue: unknown, P. 191 - 228

Published: April 25, 2025

In contemporary Customer Relationship Management (CRM), empathy plays a pivotal role in cultivating trust and long-term engagement. This chapter, Building Empathy with AI: Enhancing Relationships, explores how Emotion AI, Robotics Sentiment Analysis are reshaping CRM by enabling context-aware, emotionally responsive interactions. Through tools such as facial recognition, vocal tone analysis, sentiment detection, firms can interpret emotional cues real time tailor responses that resonate customer needs. The chapter critically examines the integration of these technologies, emphasizing they enhance service personalization while preserving human-centric ethos. Drawing on case studies across sectors, it evaluates ethical boundaries automation proposes framework to responsibly align AI innovation empathy, privacy, trust—offering practical insights for scholars, practitioners, policymakers alike.

Language: Английский

Citations

0

CRM-Systems' Role in Marketing Optimization Strategies DOI Open Access

Elena Fomicheva

Bulletin of Science and Practice, Journal Year: 2024, Volume and Issue: 10(12), P. 399 - 404

Published: Dec. 14, 2024

This article analyzes the role of CRM (customer relationship management) systems in enhancing effectiveness companies' marketing strategies. It examines impact on personalization and adaptation campaigns a highly competitive environment. The ability to structure process customer data better understand their needs preferences is studied. importance CRM’s analytical capabilities for predicting behavior improving targeting accuracy highlighted. Challenges associated with implementation, including high costs, security concerns, integration complexities, are discussed. concludes insights into prospects marketing.

Language: Английский

Citations

1

CLOUD COMPUTING AND GENERATIVE AI: TRANSFORMING CRM ACROSS INDUSTRIES DOI Open Access

Chandrasena Cheerla

Published: Dec. 26, 2024

This technical article examines the transformative impact of cloud computing and generative artificial intelligence (AI) on Customer Relationship Management (CRM)systems across diverse industries.Integrating these technologies fundamentally reshapes customer engagement strategies, enabling organizations to achieve unprecedented levels personalization, automation, service delivery optimization.

Language: Английский

Citations

0