Transforming Retail And Paint Manufacturing Supply Chains Through Agentic Ai Machine Learning And Intelligent Data Infrastructure
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Transforming Retail And Paint Manufacturing Supply Chains Through Agentic Ai Machine Learning And Intelligent Data Infrastructure
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Author : Raviteja Meda
language : en
Publisher: Global Pen Press UK
Release Date :
Transforming Retail And Paint Manufacturing Supply Chains Through Agentic Ai Machine Learning And Intelligent Data Infrastructure written by Raviteja Meda and has been published by Global Pen Press UK this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.
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Intelligent Supply Chains Ai Driven Transformation In Retail And Manufacturing
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Author : Goutham Kumar Sheelam
language : en
Publisher: AQUA PUBLICATION
Release Date :
Intelligent Supply Chains Ai Driven Transformation In Retail And Manufacturing written by Goutham Kumar Sheelam and has been published by AQUA PUBLICATION this book supported file pdf, txt, epub, kindle and other format this book has been release on with Business & Economics categories.
Next Gen Retail And Manufacturing Agentic Ai Digital Twins And Smart Supply Chains
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Author :
language : en
Publisher: BUDHA PUBLICATION
Release Date :
Next Gen Retail And Manufacturing Agentic Ai Digital Twins And Smart Supply Chains written by and has been published by BUDHA PUBLICATION this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.
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Agentic Intelligence And Cloud Powered Supply Chains Transforming Wholesale Banking And Insurance With Big Data And Artificial Intelligence
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Author : Avinash Pamisetty
language : en
Publisher: Deep Science Publishing
Release Date : 2025-04-22
Agentic Intelligence And Cloud Powered Supply Chains Transforming Wholesale Banking And Insurance With Big Data And Artificial Intelligence written by Avinash Pamisetty and has been published by Deep Science Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-22 with Computers categories.
In an era defined by exponential technological advancement, the convergence of artificial intelligence, big data, and cloud computing is reshaping the global economic landscape. Industries long regarded as traditional—wholesale, banking, and insurance—are undergoing rapid transformation as they adapt to the demands of a hyper-connected, data-driven world. This book explores the transformative potential of agentic intelligence—AI systems capable of autonomous decision-making—and the pivotal role of cloud-powered supply chains in driving efficiency, resilience, and innovation across sectors. As businesses face increasingly complex market dynamics, the ability to harness real-time data and deploy intelligent systems is no longer optional; it is essential for survival and growth. From the optimization of procurement and logistics in wholesale markets to risk modeling and fraud detection in banking, and from personalized policy offerings to automated claims processing in insurance, the fusion of advanced analytics and AI is unlocking unprecedented opportunities. Cloud infrastructure, meanwhile, enables scalability, security, and global accessibility, empowering organizations to reimagine traditional operations and deliver value at a new scale. This book serves as a comprehensive guide for leaders, practitioners, and scholars seeking to understand the strategic and operational implications of these emerging technologies. Through case studies, conceptual frameworks, and forward-looking analysis, we offer insights into how agentic intelligence and cloud ecosystems are not only enhancing business performance but also redefining the future of enterprise. As we stand on the brink of the next digital revolution, the pages that follow will illuminate the pathways through which technology can be harnessed not just to keep pace with change, but to lead it.
Smart Integration Leveraging Ai And Ml For Responsive Order Management In Supply Chains
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Author : Vijayendra V Rao
language : en
Publisher: Xoffencer International Book Publication House
Release Date : 2025-06-23
Smart Integration Leveraging Ai And Ml For Responsive Order Management In Supply Chains written by Vijayendra V Rao and has been published by Xoffencer International Book Publication House this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-23 with Computers categories.
In today's fast-paced and highly competitive global market, the ability to respond promptly and accurately to the requirements of customers has emerged as a critical aspect in determining the success of supply chains. Traditional order management systems are unable to meet the ever-evolving requirements of modern logistics. This is due to the fact that consumers continue to insist on speed, transparency, and personalisation. The incorporation of cutting-edge technologies, like as artificial intelligence and machine learning, has been made possible as a result of this. These technologies are revolutionising order management by providing intelligent automation, predictive analytics, and the functionality to make choices in real time. Discover how to make your supply chain more efficient, resilient, and responsive with the help of Smart Integration: Leveraging Artificial Intelligence and Machine Learning for Responsive Order Management in Supply Chains resource. Specifically, it investigates the ways in which technology driven by artificial intelligence might simplify the process of order validation, tailor customer experiences, speed up fulfilment operations, optimise inventory levels, and enhance demand projections. For the purpose of achieving agility, cost-effectiveness, and a lasting competitive advantage, intelligent integration is absolutely necessary. By providing readers with a firm understanding of how technology innovations are affecting the order lifecycle, the preamble aims to do this and more. The purpose of this book is to present academics, professionals, and business moguls with updated ideas and guidance that can be put into practice regarding the utilisation of artificial intelligence and machine learning in order to develop supply chains that are intelligent, interconnected, and responsive for the future.
Foundations Of Agentic Ai For Retail
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Author : Fatih Nayebi
language : en
Publisher:
Release Date : 2025-05-05
Foundations Of Agentic Ai For Retail written by Fatih Nayebi and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-05 with Business & Economics categories.
Foundations of Agentic AI for Retail is more than just a book-it's your ultimate playbook for thriving in a rapidly evolving retail landscape. Written by a leading retail AI pioneer, this authoritative guide uncovers a powerful new paradigm of intelligent systems that don't just process data, but actively think, adapt, and learn in real time. Inside, you'll discover how Agentic AI is already reshaping everything from supply chain operations and inventory management to omnichannel personalization and customer engagement. Drawing upon in-depth frameworks, real code examples, and hands-on case studies, this book provides a clear roadmap for designing, deploying, and orchestrating autonomous systems that deliver tangible business results. Whether you're a retail executive aiming to future-proof your strategy, a tech professional eager to implement next-generation solutions, or an AI enthusiast curious about the next frontier of machine intelligence, Foundations of Agentic AI for Retail shows you how to: - Reimagine Retail Operations: Gain unprecedented visibility and control over every step of the retail value chain, using Agentic AI to optimize processes, reduce costs, and improve speed-to-market. - Elevate the Customer Experience: Leverage predictive analytics, real-time personalization, and cutting-edge conversational agents to delight shoppers at every touchpoint-online, in-store, and beyond. - Implement with Confidence: Navigate the technical architecture, integration challenges, and ethical considerations that shape real-world AI deployments, guided by practical code snippets and proven best practices. - Master the Multi-Agent Future: Discover how Agentic AI collaborates across functions-pricing, marketing, fulfillment, and more-to deliver a seamless, data-driven ecosystem that propels your retail business ahead of the competition. Brimming with actionable insights and visionary foresight, Foundations of Agentic AI for Retail is your ticket to building a retail empire that's smarter, leaner, and ready for the future.
Smart Supply Chains Analytics And Ai For Industrial Transformation 2025
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Author : Author:1- ACHYUTHA MOHAN, Author:2- PROF. (DR) ARPIT JAIN
language : en
Publisher: YASHITA PRAKASHAN PRIVATE LIMITED
Release Date :
Smart Supply Chains Analytics And Ai For Industrial Transformation 2025 written by Author:1- ACHYUTHA MOHAN, Author:2- PROF. (DR) ARPIT JAIN and has been published by YASHITA PRAKASHAN PRIVATE LIMITED this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.
PREFACE In today’s fast-paced industrial landscape, supply chains have become the critical backbone of global commerce, driving efficiency, innovation, and competitiveness. Yet, the complexity and volatility of modern markets demand far more than traditional supply chain management can offer. Smart Supply Chains: Analytics and AI for Industrial Transformation explores the transformative power of advanced analytics and artificial intelligence (AI) in revolutionizing supply chain operations, enabling organizations to achieve unprecedented agility, resilience, and sustainability. This book delves deeply into how data-driven intelligence and AI technologies are reshaping every facet of supply chains—from sourcing and production to logistics and customer fulfilment. It highlights how predictive analytics, machine learning, and real-time data processing unlock insights that empower smarter decision-making and proactive risk management. By integrating IoT devices, robotics, cloud computing, and blockchain, smart supply chains evolve into interconnected, autonomous networks capable of dynamically adapting to market demands and disruptions. While technological advancements are profound, this book also addresses the human and ethical dimensions of industrial transformation. It explores challenges such as data privacy, algorithmic fairness, workforce skill shifts, and governance frameworks necessary for responsible AI deployment. Through a blend of theoretical foundations, practical applications, and recent case studies, readers gain a holistic view of both opportunities and obstacles in building smart supply chains. Designed for supply chain professionals, data scientists, industry leaders, and academics, this book aims to bridge the gap between emerging technology and real-world industrial practice. It offers actionable insights for leveraging analytics and AI not just to optimize processes, but to fundamentally reimagine supply chains as strategic assets driving innovation and competitive advantage. As industries across the globe embrace digital transformation, the knowledge presented here will serve as a vital guide to harnessing analytics and AI for sustainable industrial growth. It is our hope that this work inspires readers to lead the future of supply chain management—building smarter, more responsive, and ethically responsible supply chains that thrive in the complex world of today and tomorrow. Authors Achyutha Mohan Prof. (Dr) Arpit Jain
Supply Chain Transformation Through Generative Ai And Machine Learning
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Author : Sabri, Ehap
language : en
Publisher: IGI Global
Release Date : 2025-01-23
Supply Chain Transformation Through Generative Ai And Machine Learning written by Sabri, Ehap and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-23 with Business & Economics categories.
The transformative role of Generative Artificial Intelligence (AI) and Machine Learning (ML) in supply chain management is increasingly being recognized as a game-changer in the industry. Recent statistics underscore this trend, highlighting the rapid adoption and significant impact of these technologies. However, the path to digital transformation is not without its challenges. Despite improved success rates, about 60% of digital transformation initiatives in supply chains still struggle to fully meet their objectives. This shortfall is often attributed to several key factors: the complexity and scale of integrating new technologies into existing systems; organizational resistance to change and inadequate stakeholder buy-in; lack of skilled professionals adept in these new technologies; insufficient data governance and quality; and underestimation of the need for a robust change management strategy. These challenges highlight the critical need for a comprehensive approach that addresses both the technical and human aspects of digital transformation. Supply Chain Transformation Through Generative AI and Machine Learning is a comprehensive resource to the best practices in digital enablement, change management, and process optimization, with a specific focus on Generative AI and ML. It equips readers with the knowledge and strategies necessary for successful integration of these technologies, drawing on the latest industry insights and expert recommendations, to enhance supply chain efficiency and effectiveness, reduce costs, and drive revenue growth. Covering topics such as AI-powered visual models, demand planning, and product clustering, this book is an excellent resource for executives, business leaders, program managers, data scientists, AI and ML developers, industry analysts, consultants, professionals, scholars, researchers, academicians, and more.
Intelligent Retail And Manufacturing Systems Artificial Intelligence Driven Oss Bss Solutions And Infrastructure Innovations
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Author : Shabrinath Motamary
language : en
Publisher: Deep Science Publishing
Release Date : 2025-06-10
Intelligent Retail And Manufacturing Systems Artificial Intelligence Driven Oss Bss Solutions And Infrastructure Innovations written by Shabrinath Motamary and has been published by Deep Science Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-10 with Computers categories.
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.
Advances In Production Management Systems Artificial Intelligence For Sustainable And Resilient Production Systems
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Author : Alexandre Dolgui
language : en
Publisher: Springer Nature
Release Date : 2021-09-01
Advances In Production Management Systems Artificial Intelligence For Sustainable And Resilient Production Systems written by Alexandre Dolgui and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-09-01 with Computers categories.
The five-volume set IFIP AICT 630, 631, 632, 633, and 634 constitutes the refereed proceedings of the International IFIP WG 5.7 Conference on Advances in Production Management Systems, APMS 2021, held in Nantes, France, in September 2021.* The 378 papers presented were carefully reviewed and selected from 529 submissions. They discuss artificial intelligence techniques, decision aid and new and renewed paradigms for sustainable and resilient production systems at four-wall factory and value chain levels. The papers are organized in the following topical sections: Part I: artificial intelligence based optimization techniques for demand-driven manufacturing; hybrid approaches for production planning and scheduling; intelligent systems for manufacturing planning and control in the industry 4.0; learning and robust decision support systems for agile manufacturing environments; low-code and model-driven engineering for production system; meta-heuristics and optimization techniquesfor energy-oriented manufacturing systems; metaheuristics for production systems; modern analytics and new AI-based smart techniques for replenishment and production planning under uncertainty; system identification for manufacturing control applications; and the future of lean thinking and practice Part II: digital transformation of SME manufacturers: the crucial role of standard; digital transformations towards supply chain resiliency; engineering of smart-product-service-systems of the future; lean and Six Sigma in services healthcare; new trends and challenges in reconfigurable, flexible or agile production system; production management in food supply chains; and sustainability in production planning and lot-sizing Part III: autonomous robots in delivery logistics; digital transformation approaches in production management; finance-driven supply chain; gastronomic service system design; modern scheduling and applications in industry 4.0; recent advances in sustainable manufacturing; regular session: green production and circularity concepts; regular session: improvement models and methods for green and innovative systems; regular session: supply chain and routing management; regular session: robotics and human aspects; regular session: classification and data management methods; smart supply chain and production in society 5.0 era; and supply chain risk management under coronavirus Part IV: AI for resilience in global supply chain networks in the context of pandemic disruptions; blockchain in the operations and supply chain management; data-based services as key enablers for smart products, manufacturing and assembly; data-driven methods for supply chain optimization; digital twins based on systems engineering and semantic modeling; digital twins in companies first developments and future challenges; human-centered artificial intelligence in smart manufacturing for the operator 4.0; operations management in engineer-to-order manufacturing; product and asset life cycle management for smart and sustainable manufacturing systems; robotics technologies for control, smart manufacturing and logistics; serious games analytics: improving games and learning support; smart and sustainable production and supply chains; smart methods and techniques for sustainable supply chain management; the new digital lean manufacturing paradigm; and the role of emerging technologies in disaster relief operations: lessons from COVID-19 Part V: data-driven platforms and applications in production and logistics: digital twins and AI for sustainability; regular session: new approaches for routing problem solving; regular session: improvement of design and operation of manufacturing systems; regular session: crossdock and transportation issues; regular session: maintenance improvement and lifecycle management; regular session: additive manufacturing and mass customization; regular session: frameworks and conceptual modelling for systems and services efficiency; regular session: optimization of production and transportation systems; regular session: optimization of supply chain agility and reconfigurability; regular session: advanced modelling approaches; regular session: simulation and optimization of systems performances; regular session: AI-based approaches for quality and performance improvement of production systems; and regular session: risk and performance management of supply chains *The conference was held online.