Ai Powered Digital Commerce Architecting The Future Of Scalable And Personalized Shopping 2025
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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
Enterprise-Grade E-Commerce Architecture: From CPQ to Customer Delight 2025
Author: AUTHOR:1- Prabhavathi Koppalli, AUTHOR:2- Prof (Dr) M Seetharama Prasad
language: en
Publisher: YASHITA PRAKASHAN PRIVATE LIMITED
Release Date:
-PREFACE The digital commerce landscape is evolving at an unprecedented pace, fueled by changing customer expectations, global competition, and the relentless advance of cloud and AI technologies. In this new era, e-commerce platforms are no longer just transactional interfaces—they are complex, intelligent ecosystems that must be scalable, secure, personalized, and agile. This book, Enterprise-Grade E-Commerce Architecture: From CPQ to Customer Delight, is a response to this transformation. It provides a comprehensive roadmap for designing, building, and managing modern commerce systems that deliver not only efficiency and scale but also rich, end-to-end customer experiences. At the heart of enterprise e-commerce lies the ability to seamlessly bridge backend operational efficiency with front-end user satisfaction. Whether it is a dynamic CPQ (Configure, Price, Quote) engine, microservices-driven architecture, or AI-enhanced personalization, each component plays a vital role in shaping a resilient and responsive platform. This book demystifies the architectural complexity involved in building such platforms and offers a structured approach to aligning business strategy with technology execution. Written for solution architects, engineering leaders, system integrators, and digital commerce strategists, this book moves beyond theory to offer actionable insights. It combines architectural best practices with real-world examples to guide professionals in deploying and scaling enterprise commerce solutions with confidence and clarity. The journey begins with foundational concepts (Chapter 1), followed by deep dives into CPQ mechanics (Chapter 2), modular microservices (Chapter 3), and seamless integration via APIs and event-driven flows (Chapter 4). As the architecture scales, Chapters 5 through 8 explore infrastructure, data platforms, AI-powered personalization, and robust security practices. The latter part of the book addresses operational excellence—performance engineering (Chapter 9), CI/CD and DevOps automation (Chapter 10), observability (Chapter 11), and ultimately, how customer feedback loops drive continuous improvement (Chapter 12). Each chapter has been carefully curated to reflect the nuances and challenges of enterprise environments—where uptime is critical, integration is complex, and customer trust is paramount. From architecture diagrams to implementation strategies, and from platform scalability to governance models, our goal is to equip you with the tools to architect with foresight and deliver with excellence. We owe our gratitude to the countless professionals and organizations that have contributed their insights to the field, and to our readers, who seek not just to build platforms—but to build platforms that matter. We hope this book becomes both a technical reference and a source of inspiration as you architect the future of enterprise e-commerce—where every interaction, every configuration, and every quote leads ultimately to one thing: customer delight. Authors Prabhavathi Koppalli, Prof (Dr) M Seetharama Prasad
AI-Driven Commerce: Building the Future of Retail, Logistics, and Digital Marketplaces 2025
Author: Author:1-Yaswanth Jeganathan, Author:2-Dr. Pramod Vishwakarma
language: en
Publisher: YASHITA PRAKASHAN PRIVATE LIMITED
Release Date:
PREFACE In the rapidly evolving landscape of commerce, artificial intelligence (AI) is transforming how businesses operate, interact with consumers, and manage their operations. From personalized shopping experiences to intelligent supply chains and dynamic pricing models, AI has become a driving force in reshaping retail, logistics, and digital marketplaces. AI-Driven Commerce: Building the Future of Retail, Logistics, and Digital Marketplaces explores the transformative potential of AI across these sectors and its role in shaping the future of commerce. The past decade has witnessed an unprecedented shift in consumer behavior, powered by the proliferation of digital platforms and the growing demand for seamless, personalized experiences. Retailers, logistics companies, and digital marketplace providers are increasingly adopting AI to stay competitive, automate processes, and create efficiencies. AI is no longer just an experimental technology; it has become a core element of business strategy, helping organizations understand consumer preferences, optimize inventory, streamline operations, and offer real-time solutions that were once unimaginable. This book is designed to provide an in-depth exploration of how AI is being leveraged across the key pillars of modern commerce: retail, logistics, and digital marketplaces. We examine how AI-driven technologies like machine learning, natural language processing (NLP), computer vision, and predictive analytics are reshaping everything from customer acquisition and product recommendation systems to inventory management, last-mile delivery, and fraud prevention. By offering detailed case studies and real-world examples, we showcase how leading companies are deploying AI to drive growth, enhance customer satisfaction, and achieve operational excellence. The first section of the book delves into AI in retail, where the impact is most visible. AI is revolutionizing the way retailers interact with customers, moving beyond the traditional brick-and-mortar model to deliver personalized, omnichannel shopping experiences. With AI-powered recommendation engines, chatbots, and virtual assistants, retailers can engage consumers more effectively, tailoring product suggestions and marketing messages based on individual preferences and past behaviors. This personalization leads to increased customer loyalty and satisfaction, as well as greater sales conversion rates. The second section focuses on AI in logistics, a field that undergoes a profound transformation due to the integration of AI and automation. AI enables logistics companies to optimize their supply chains, predict demand more accurately, and reduce costs through intelligent route planning, predictive maintenance, and automated warehouse management. The adoption of AI technologies is also revolutionizing the way businesses manage inventory, ensuring that products are available where and when they are needed, without overstocking or understocking. In the final section, we explore AI in digital marketplaces, where the future of commerce is increasingly taking shape. Marketplaces like Amazon, eBay, and Alibaba are utilizing AI to create seamless, efficient, and scalable environments for both buyers and sellers. AI-driven algorithms optimize product discovery, ensure fair pricing, and facilitate customer trust through better fraud detection. These marketplaces are also benefiting from AI’s ability to analyze vast amounts of transactional data, allowing for continuous improvement in operations and service delivery. Throughout the book, we also highlight the ethical considerations and challenges associated with AI adoption, such as privacy concerns, bias in algorithmic decision-making, and the need for transparency and accountability in AI-driven systems. As AI becomes more ingrained in commerce, it is vital that businesses adopt responsible AI practices that prioritize fairness, inclusivity, and data security. Ultimately, AI-Driven Commerce: Building the Future of Retail, Logistics, and Digital Marketplaces provides readers with a comprehensive guide to understanding how AI is revolutionizing the commerce industry. Whether you are a business leader, technologist, or researcher, this book offers valuable insights into how AI is creating a new era of commerce and what organizations must do to harness its full potential in an increasingly digital world. Authors