Enterprise Intelligence Building Scalable Data Products For The Digital Supply Chain 2025
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Enterprise Intelligence: Building Scalable Data Products for the Digital Supply Chain 2025
Author: Author 1 : NAVEEN SAIKRISHNA PUPPALA, Author 2 : MASTER DR. S. B. KISHOR
language: en
Publisher: YASHITA PRAKASHAN PRIVATE LIMITED
Release Date:
PREFACE In today’s hyper-connected global economy, supply chains have evolved from linear, function-centric processes into complex, data-driven ecosystems. As enterprises strive to remain agile, resilient, and customer-centric, the ability to harness and operationalize vast quantities of supply-chain data has become a strategic imperative. Enterprise Intelligence: Building Scalable Data Products for the Digital Supply Chain is designed to guide practitioners, architects, and decision-makers through the journey of transforming raw data into actionable intelligence that fuels competitive advantage. Drawing upon both industry best practices and cutting-edge research, this book is organized into eleven interrelated chapters, each addressing a critical dimension of end-to-end data-product development: · Foundations of Enterprise Intelligence in the Supply Chain establishes the conceptual framework, defining key principles and illustrating how data products differ from traditional reporting and analytics. · Architecting Scalable Data Infrastructure delves into the technology stack storage, compute, and networking required to support high-volume, low-latency workflows. · Data Governance and Quality in Supply Chain Systems underscores the importance of trust, consistency, and compliance, presenting methodologies to measure and enforce data integrity. · Real-Time Data Ingestion and Processing Pipelines explores modern stream-processing architectures that enable timely insights and reactive decision-making. · AI and ML for Predictive Supply Chain Intelligence demonstrates how machine learning models can anticipate demand fluctuations, optimize routes, and reduce inventory costs. · Digital Twins and Simulation for Operational Optimization shows how virtual replicas of physical systems empower “what-if” analyses and continuous process improvement. · Intelligent Inventory and Demand Planning Systems focuses on advanced algorithms for balancing stock levels, minimizing stockouts, and adapting to shifting market conditions. · Supplier and Risk Intelligence Platforms examines frameworks for evaluating supplier performance, forecasting disruptions, and automating risk mitigation. · Orchestrating Data Products for Supply Chain Collaboration addresses the cultural and technical mechanisms needed to share insights across organizational boundaries. · Cloud-Native Integration with ERP and Logistics Systems guides readers through seamless connectivity with enterprise resource planning and transportation-management solutions. · Visual Analytics and Decision Intelligence Dashboards demonstrates how intuitive, interactive interfaces translate complex data into clear, decision-ready insights. Whether you are building your first data-product prototype or scaling a global analytics platform, this book offers both strategic guidance and hands-on techniques. Throughout, you will find real-world examples, illustrative diagrams, and practical checklists designed to accelerate adoption and drive measurable outcomes. It is our hope that by the end of this journey, you will possess the knowledge and confidence to architect, deploy, and govern data products that unlock the full potential of your digital supply chain. Authors Naveen Saikrishna Puppala Master Dr. S. B. Kishor
Data as the Fourth Pillar
Data as the Fourth Pillar reasons that data should be considered the fourth pillar of every enterprise, alongside people, processes, and technology. Aimed at Boards, CEOs, and CxOs, this book provides a compelling case for why and how they should treat data as a strategic asset. It presents a comprehensive, success-by-design approach for enterprises, guiding them through a maturity framework to accelerate their data-centric journey. This book addresses the “why,” the “what,” and the “how” of achieving this goal in measurable terms. It introduces key performance indicators (KPIs) such as total addressable value (TAV) and expected addressable value (EAV) through data to help measure the impact provided by the data pillar. This book also explores the symbiotic relationship between artificial intelligence (AI) and data, illustrating how both enable and benefit from each other. A case study by Rudiger Eck from Audi AG provides practical insights into the concepts and frameworks discussed. This book is an essential resource for business executives in both small to medium businesses (SMBs) and large enterprises, helping them navigate a highly complex and hypercompetitive business landscape while accelerating business value for their stakeholder communities.
AI-Powered Digital Commerce: Architecting the Future of Scalable and Personalized Shopping 2025
Author: AUTHOR:1-Abhilash Thankappan Ajeshbhavan, AUTHOR:2- Dr A Senthil
language: en
Publisher: YASHITA PRAKASHAN PRIVATE LIMITED
Release Date:
PREFACE In an era defined by rapid technological evolution, the retail and commerce landscape is undergoing a transformative shift—one that is both inevitable and extraordinary. The convergence of artificial intelligence (AI) and digital commerce has ushered in a new paradigm where personalization, scale, and intelligence are not just aspirations, but foundational elements of modern consumer experiences. This book, AI-Powered Digital Commerce: Architecting the Future of Scalable and Personalized Shopping, is our endeavor to decode that transformation and offer a comprehensive, future-facing perspective on how AI is redefining the very fabric of shopping. We are witnessing a fundamental rethinking of how products are discovered, how preferences are understood, and how fulfillment is orchestrated—across platforms, devices, and moments. From intelligent recommendation systems and visual search to real-time behavioral targeting and AI-powered customer support, every touchpoint is becoming smarter, faster, and more human-like. This shift demands not just new technologies, but also a new mindset—one that balances scale with agility, automation with empathy, and innovation with responsibility. This book is written for technologists, digital commerce strategists, product leaders, data scientists, and retail innovators who are looking to architect intelligent, customer-centric shopping experiences. It offers both the technical depth and strategic foresight required to build, deploy, and govern AI-powered commerce systems at scale. We begin by laying the foundational concepts of AI in the commerce domain (Chapter 1), followed by a detailed exploration of the data infrastructure and cloud-native architectures essential for scalability (Chapter 2). The journey then progresses through demand forecasting (Chapter 3), AI-driven personalization (Chapter 4), and conversational interfaces (Chapter 5), each unlocking unique value levers for enterprises. In the latter chapters, we navigate the realms of computer vision (Chapter 6), supply chain intelligence (Chapter 7), dynamic pricing (Chapter 8), and omnichannel integration (Chapter 9), before culminating in customer analytics (Chapter 10), ethical considerations (Chapter 11), and emerging technologies like generative AI, AR/VR, and beyond (Chapter 12). Throughout the book, we have taken care to blend academic rigor with practical insights—backed by case studies, architectural frameworks, implementation best practices, and reflections from real-world enterprise deployments. Our goal is to empower readers to not only understand the “how” but also the “why” behind AI adoption in commerce. We extend our heartfelt gratitude to researchers, industry professionals, and collaborators who have inspired and informed us of this work. We also thank our readers in advance—for being curious, critical, and courageous as you shape the next generation of digital commerce. Abhilash Thankappan Ajeshbhavan Dr. A Senthil