{"product_id":"foundations-of-agentic-ai-for-retail-concepts-technologies-and-architectures-for-autonomous-retail-systems-9781069422606","title":"Foundations of Agentic AI for Retail: Concepts, Technologies, and Architectures for Autonomous Retail Systems","description":"\u003cp\u003e\u003cstrong\u003eMaster Retail's Autonomous Future - Foundations of Agentic AI for Retail (Full-Color Edition)\u003c\/strong\u003e\u003c\/p\u003e \u003cp\u003eThis book is the definitive, end-to-end playbook showing you how to design, code, and deploy autonomous agents that think, learn, and act in real time-transforming every aspect of your retail business.\u003c\/p\u003e \u003cp\u003e\u003cstrong\u003eWhat makes this book indispensable?\u003c\/strong\u003e\u003c\/p\u003e \u003cp\u003e- \u003cstrong\u003eFull-Color Visuals\u003c\/strong\u003e: 75+ diagrams, flowcharts, and architecture blueprints rendered in vivid color, making complex concepts, data flows, and decision loops crystal-clear.\u003c\/p\u003e \u003cp\u003e- \u003cstrong\u003e50+ Real-World Retail Use Cases\u003c\/strong\u003e: Explore detailed blueprints and discussions covering demand forecasting, dynamic pricing, conversational merchandising, autonomous store operations, supply chain optimization, and many more-illustrating agent capabilities across the retail landscape.\u003c\/p\u003e \u003cp\u003e- \u003cstrong\u003e28 Code Examples\u003c\/strong\u003e: Get hands-on with complete, Python listings covering: BDI agents, OODA loops, MDP, Reinforcement Learning pipelines, LLM-powered ReAct chains, MCP-based negotiations, A2A multi-agent orchestration, and beyond.\u003c\/p\u003e \u003cp\u003e- \u003cstrong\u003eRetail-Focused, Industry-Agnostic Foundations\u003c\/strong\u003e: Master the core math, decision frameworks (like MDPs, Bayesian methods), and reference architectures applicable to any industry, then dive deep into specialized adaptations proven in retail.\u003c\/p\u003e \u003cp\u003e- \u003cstrong\u003eRigor + Cutting-Edge Tech\u003c\/strong\u003e: Bridge foundational AI (optimization, planning) with the latest breakthroughs: Large Language Models (LLMs), OpenAI's Agents SDK, transformer agents, retrieval-augmented generation (RAG), and modern open multi-agent protocols like Anthropic's MCP and Google's A2A.\u003c\/p\u003e \u003cp\u003e\u003cstrong\u003eInside you'll learn to\u003c\/strong\u003e: \u003c\/p\u003e \u003cp\u003e1. Architect autonomous retail systems using layered reference models, event-driven patterns, and API-first design.\u003c\/p\u003e \u003cp\u003e2. Orchestrate multi-agent ecosystems that collaborate, negotiate, and self-optimize across pricing, supply chain, marketing, and customer service.\u003c\/p\u003e \u003cp\u003e3. Embed Large Language Models as reasoning engines for complex decision-making and natural-language interactions.\u003c\/p\u003e \u003cp\u003e4. Implement robust feedback loops \u0026amp; guardrails ensuring agents are safe, explainable, and aligned with AI governance standards.\u003c\/p\u003e \u003cp\u003e5. Scale from Proof-of-Concept to enterprise deployment with proven CI\/CD pipelines, observability dashboards, and effective rollout strategies.\u003c\/p\u003e \u003cp\u003e\u003cstrong\u003eWho should read this book?\u003c\/strong\u003e\u003c\/p\u003e \u003cp\u003e- \u003cstrong\u003eRetail Executives \u0026amp; Strategists\u003c\/strong\u003e: Gain a clear, actionable roadmap for AI-driven transformation and competitive advantage.\u003c\/p\u003e \u003cp\u003e- \u003cstrong\u003eSoftware Architects \u0026amp; ML Engineers\u003c\/strong\u003e: Acquire hands-on guidance to design and build next-generation agentic platforms.\u003c\/p\u003e \u003cp\u003e-\u003cstrong\u003e Researchers \u0026amp; Advanced Students\u003c\/strong\u003e: Use this as a rigorous yet practical reference on developing and deploying autonomous systems.\u003c\/p\u003e \u003cp\u003e-\u003cstrong\u003e AI Enthusiasts\u003c\/strong\u003e: Get a front-row seat to the convergence of LLMs, computer vision, causal inference, and sensor networks in the dynamic world of retail.\u003c\/p\u003e \u003cp\u003e\u003cstrong\u003eWhy buy now?\u003c\/strong\u003e\u003c\/p\u003e \u003cp\u003eThe retail winners of tomorrow are moving today-transitioning from siloed analytics to \u003cstrong\u003efully autonomous\u003c\/strong\u003e, \u003cstrong\u003econtinuously learning agentic ecosystems\u003c\/strong\u003e.\u003c\/p\u003e \u003cp\u003eWhether you're reinventing an established brand or launching the next disruptor, this comprehensive, full-color guide delivers the complete toolkit.\u003c\/p\u003e \u003cp\u003e\u003cstrong\u003eAbout Author\u003c\/strong\u003e\u003c\/p\u003e \u003cp\u003eDr. Fatih Nayebi is VP of Data \u0026amp; AI at ALDO Group, steering the retailer's AI strategy and product innovation. A post-doctoral specialist in Machine Learning and HCI, he has spent six years at McGill University teaching Data Science, ML Engineering, Deep Learning, and Agentic AI.\u003c\/p\u003e\u003cbr\u003e","brand":"Publishdrive","offers":[{"title":"Default Title","offer_id":51764113441042,"sku":"9781069422606","price":64.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0831\/4771\/8930\/files\/img_f94ff487-3993-4001-bf07-4aa9d85867ab.jpg?v=1764756325","url":"https:\/\/surprise-castle.myshopify.com\/products\/foundations-of-agentic-ai-for-retail-concepts-technologies-and-architectures-for-autonomous-retail-systems-9781069422606","provider":"Surprise Castle","version":"1.0","type":"link"}