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First Published Book

AI in Business Analytics & Decision-Making

The inaugural edited volume published by Jupiter Publications Consortium (JPC).

AI in Business Analytics and Decision-Making Book Cover

This edited scholarly work explores how Artificial Intelligence and Machine Learning reshape enterprise analytics, enabling predictive, prescriptive, and automated decision-making at scale. The volume consolidates foundational theories, applied research, and domain-specific case studies that guide organizational transformation through data-driven intelligence.

AI/ML Business Analytics Decision Intelligence Enterprise Transformation
eISBN978-93-86388-87-2
Book DOI https://doi.org/10.47715/978-93-86388-87-2
VolumeI
EditionFirst
First Published12th November, 2025
AvailabilityOpen Access
Copyright © 2025 Jupiter Publications Consortium
All rights reserved worldwide.
Publisher Jupiter Publications Consortium
22/102, Second Street, Virugambakkam,
Chennai – 600 092, India
Email: director@jpc.in.net
Website: www.jpc.in.net
Editors Prof. (Dr.) S. Mohan Kumar · Prof. (Dr.) G. Balakrishnan · Dr. Joseph Bamidele Awotunde · Prof. (Dr.) K. P. Yadav
Chapter-wise DOI Registry
Ch. 1 DOI Ch. 2 DOI Ch. 3 DOI Ch. 4 DOI Ch. 5 DOI Ch. 6 DOI Ch. 7 DOI
View on JPC Download Book (Open Access)
AI and Data Analytics in Business Book Cover
Second Published Book

AI and Data Analytics in Business

This full open access edited book examines the transformative role of artificial intelligence, big data analytics, business analytics, predictive modelling, customer intelligence, personalization, recommender systems, mobile commerce, and digital experience design in contemporary business environments. The volume focuses especially on how analytics and personalization reshape digital retail, customer engagement, satisfaction, loyalty, and sustainable value creation.

Artificial Intelligence Data Analytics Digital Retail Recommender Systems Mobile Commerce Responsible AI
Book TypeEdited Book
E-ISBN978-93-86388-70-4
Book DOI https://doi.org/10.47715/978-93-86388-70-4
EditionFirst Edition
Published On12th May, 2026
Number of Pages312
Access TypeFull Open Access Volume
Publisher Jupiter Publications Consortium
22/102 Second Street, Virugambakkam,
Chennai – 600 092, Tamil Nadu, India
Phone: +91 97909 11374 | 99625 78190
Email: director@jpc.in.net
Website: www.jpc.in.net
Editors S. Mohan Kumar · A. Shajin Nargunam · Hemalatha Arunachalam · Duraisamy Balaganesh
Book and Chapter DOI Registry
Book DOI Ch. 1 DOI Ch. 2 DOI Ch. 3 DOI Ch. 4 DOI Ch. 5 DOI Ch. 6 DOI Ch. 7 DOI
Chapters Included
  1. AI-Driven Business Analytics and Its Role in Reducing Decision-Making Time for Strategic Leaders
  2. Big Data Analytics and Behavioural Targeting in Digital Retail
  3. Predictive Analytics for Customer Retention and Loyalty Programs
  4. Recommender Systems and Cross-Selling Techniques in Online Retail
  5. Behavioral Segmentation and Real-Time Engagement Strategies in Smart Retail
  6. Customer-Centric Design in E-Commerce: From Personalization to Co-Creation
  7. Mobile Commerce and the Optimization of Ubiquitous Customer Experiences
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Current Call for Chapters

Coming Soon

The next edited book call for chapters will be announced shortly. Authors, researchers, academicians, and industry experts may stay connected for upcoming themes, submission dates, editor details, ISBN information, and DOI publication updates.

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Thematic Focus

Research Themes & Application Domains

We welcome contributions from diverse domains where AI, analytics, and digital technologies are shaping decision-making and organizational performance.

Business Intelligence & Dashboards Predictive & Prescriptive Analytics Financial Analytics & FinTech Healthcare & Public Health Analytics Manufacturing & Industry 4.0 Smart Cities & Public Policy Customer Experience & CRM Education Technology & Learning Analytics AI Governance & Ethics

Authors may submit theoretical, empirical, simulation-based, review, or case-study chapters aligned with the scope of each edited book.

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Step 1
Identify your theme and align it with an active call for chapters.
Step 2
Submit an extended abstract or proposal via the Submit Chapter page.
Step 3
Develop the full chapter following our author guidelines and template.
Step 4
Revise based on peer and editorial reviews; finalize for ISBN & DOI-indexed publication.
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Voices from the Community

Scholars on AI & Analytics

“Artificial intelligence is the new electricity.” It is transforming industries and reshaping the way organizations think about data-driven decisions.

Andrew Ng

“The future belongs to those who can turn data into decisions.” Edited books like these play a crucial role in capturing best practices and emerging frameworks.

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“For academicians and practitioners, contributing a chapter is an opportunity to shape how AI and analytics are adopted responsibly across sectors.”

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