Foundations of Agentic AI for Retail

<p><strong>Master Retail's Autonomous Future - Foundations of Agentic AI for Retail (Full-Color Edition)</strong></p> <p>This 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.</p> <p><strong>What makes this book indispensable?</strong></p> <p>- <strong>Full-Color Visuals</strong>: 75+ diagrams flowcharts and architecture blueprints rendered in vivid color making complex concepts data flows and decision loops crystal-clear.</p> <p>- <strong>50+ Real-World Retail Use Cases</strong>: 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.</p> <p>- <strong>28 Code Examples</strong>: 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.</p> <p>- <strong>Retail-Focused Industry-Agnostic Foundations</strong>: 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.</p> <p>- <strong>Rigor + Cutting-Edge Tech</strong>: 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.</p> <p><strong>Inside you'll learn to</strong>: </p> <p>1. Architect autonomous retail systems using layered reference models event-driven patterns and API-first design.</p> <p>2. Orchestrate multi-agent ecosystems that collaborate negotiate and self-optimize across pricing supply chain marketing and customer service.</p> <p>3. Embed Large Language Models as reasoning engines for complex decision-making and natural-language interactions.</p> <p>4. Implement robust feedback loops & guardrails ensuring agents are safe explainable and aligned with AI governance standards.</p> <p>5. Scale from Proof-of-Concept to enterprise deployment with proven CI/CD pipelines observability dashboards and effective rollout strategies.</p> <p><strong>Who should read this book?</strong></p> <p>- <strong>Retail Executives & Strategists</strong>: Gain a clear actionable roadmap for AI-driven transformation and competitive advantage.</p> <p>- <strong>Software Architects & ML Engineers</strong>: Acquire hands-on guidance to design and build next-generation agentic platforms.</p> <p>-<strong> Researchers & Advanced Students</strong>: Use this as a rigorous yet practical reference on developing and deploying autonomous systems.</p> <p>-<strong> AI Enthusiasts</strong>: Get a front-row seat to the convergence of LLMs computer vision causal inference and sensor networks in the dynamic world of retail.</p> <p><strong>Why buy now?</strong></p> <p>The retail winners of tomorrow are moving today-transitioning from siloed analytics to <strong>fully autonomous</strong> <strong>continuously learning agentic ecosystems</strong>.</p> <p>Whether you're reinventing an established brand or launching the next disruptor this comprehensive full-color guide delivers the complete toolkit.</p> <p><strong>About Author</strong></p> <p>Dr. Fatih Nayebi is VP of Data & 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.</p>