Intelligent Retail and Manufacturing Systems: Artificial Intelligence-Driven OSS/BSS Solutions and Infrastructure Innovations
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https://doi.org/10.70593/978-93-49910-26-3
Keywords:
Artificial Intelligence, Business Support Systems, Operational Support Systems, Smart Manufacturing, Customer Relationship Management , Enterprise Resource Planning, Cloud ComputingSynopsis
The digital transformation of retail and manufacturing industries is accelerating at an unprecedented pace, driven by advances in Artificial Intelligence (AI), Machine Learning, and Cloud Computing. In this context, the role of Operational Support Systems (OSS) and Business Support Systems (BSS) has become increasingly critical to enabling smart manufacturing, real-time retail analytics, and agile business models. This book presents a comprehensive examination of how intelligent systems are redefining the future of enterprise operations. Focusing on the integration of AI-driven solutions in domains such as predictive billing, customer relationship management (CRM), enterprise resource planning (ERP), and supply chain optimization, this volume offers readers a well-rounded understanding of both foundational concepts and cutting-edge applications. Through a balanced blend of theory and practice, the book explores how Industry 4.0 technologies,such as data governance, business intelligence, and process automation, are reshaping retail and manufacturing infrastructures.
Each chapter explore key areas like digital transformation strategies, data management, CRM automation, and intelligent customer lifecycle management, emphasizing the need for scalable and interoperable systems that enhance operational efficiency and customer satisfaction. By integrating insights from both academic research and industry practice, this book serves as a valuable resource for professionals, scholars, and innovators aiming to harness AI for competitive advantage.
Chapters
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Exploring the foundations and modern applications of operational and business support systems in retail and manufacturing
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Integrating artificial intelligence with business support systems for smarter billing, CRM, and customer lifecycle management
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Enhancing efficiency in smart manufacturing processes through agentic artificial intelligence-driven autonomous systems
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Implementing artificial intelligence-powered predictive maintenance and inventory forecasting in retail supply chains
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Architecting Scalable Cloud Infrastructure to Support High-Volume OSS/BSS Workloads in Real-Time Environments
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Developing robust data engineering pipelines for complex retail analytics and manufacturing intelligence
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Utilizing machine learning to optimize product lifecycle management from design to end-of-life
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Improving customer engagement through behavior-driven artificial intelligence recommendations and interactive platforms
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Applying predictive algorithms to monitor, maintain, and evolve OSS network performance efficiently
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Deploying agentic artificial intelligence models to automate high-stakes decisions in product placement and store operations
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Accelerating the adoption of industry 4.0 with intelligent manufacturing and IoT-integrated systems
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Establishing secure, ethical, and sustainable artificial intelligence frameworks in retail and manufacturing infrastructure
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Published
10 June 2025
Copyright (c) 2025 Shabrinath Motamary
Details about the available publication format: E-Book
E-Book
ISBN-13 (15)
978-93-49910-26-3
Details about the available publication format: Book (Paperback)
Book (Paperback)
ISBN-13 (15)
978-93-49910-18-8
How to Cite
Motamary, S. . (2025). Intelligent Retail and Manufacturing Systems: Artificial Intelligence-Driven OSS/BSS Solutions and Infrastructure Innovations. Deep Science Publishing. https://doi.org/10.70593/978-93-49910-26-3
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