£79.63

Foundations of Agentic AI for Retail: Concepts, Technologies, and Architectures for Autonomous Retail Systems

Retail

Price data last checked 90 day(s) ago - refreshing...

View at Amazon

Price History & Forecast

Last 1 days • 1 data points (No recent data available)

Historical

Generating forecast...

Not enough data points to display chart (need at least 2 points)

Price Distribution

Price distribution over 1 days • 1 price levels

Days at Price

Price Analysis

Most common price: £80 (1 days, 100.0%)

Price range: £80 - £80

Price levels: 1 different prices over 1 days

Description

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

Product Specifications

Format: paperback
ASIN: 1069422606
Category: Books > Subjects > Business, Finance & Law > Management > Distribution > Retail
Domain: Amazon UK
Release Date: 05 May 2025
Listed Since: 27 March 2025

Barcode

No barcode data available

Foundations of Agentic AI for Retail: Concepts, Technologies, and Architectures for Autonomous Retail Systems

Price History & Forecast

Price Distribution

Price Analysis

Description

Product Specifications

Barcode

Similar Products You Might Like

Agentic AI: Artificial Intelligence is Harnessing AI Agents and Reinventing Business strategies a long with Work and personal Life

Building Agentic AI Systems: Create intelligent, autonomous AI agents that can reason, plan, and adapt

The Agentic AI Bible: The Complete and Up-to-Date Guide to Design, Build, and Scale Goal-Driven, LLM-Powered Agents that Think, Execute and Evolve

The Agentic AI Bible: The Complete and Up-to-Date Guide to Design, Build, and Scale Goal-Driven, LLM-Powered Agents that Think, Execute and Evolve

Agentic AI The Bible: Build and Master AI Agents to Transform Business, Work, and Life. Includes Video Lessons, Cheat Sheets, and Exclusive Resources

Building AI Agents with LLMs, RAG, and Knowledge Graphs: A practical guide to autonomous and modern AI agents

Agentic AI Engineering: The Definitive Field Guide to Building Production-Grade Cognitive Systems

Building Generative AI Agents: Using LangGraph, AutoGen, and CrewAI

Agentic AI Engineering: The Definitive Field Guide to Building Production-Grade Cognitive Systems (Generative AI Revolution Series)

Master AI From Beginner To Business Leader.: Discover How To Streamline Your AI Journey, From Beginner Tools To Cutting Edge Business Applications ... (Artificial Intelligence For Everyone.)

Agentic AI: Theories and Practices (Progress in IS)

Generative AI For Business Leaders: Complete Book Collection: Fundamentals, Strategy and Transformation (Byte-Sized Learning)

LLM Design Patterns: A Practical Guide to Building Robust and Efficient AI Systems

Simplified Generative AI Architecture Design Guide (Future-Proof AI Design Future-Proof AI Design Series)

Architecting Enterprise AI Applications: A Guide to Designing Reliable, Scalable, and Secure Enterprise-Grade AI Solutions

Generative AI with LangChain: Build production-ready LLM applications and advanced agents using Python, LangChain, and LangGraph

Context Engineering for Multi-Agent Systems: Move beyond prompting to build a Context Engine, a transparent architecture of context and reasoning

Enterprise AI in the Cloud: A Practical Guide to Deploying End-to-End Machine Learning and ChatGPT Solutions (Tech Today)

Day Trade With AI: Theoretical foundations for discretionary, algorithmic, and diversified trading with AI

Basic Mathematical Foundations of AI: Hands on with Python (Mastering Machine Learning)

AI Agent Frameworks: Technical Insights and Practical Applications.

Artificial Intelligence for Business: An Implementation Guide Containing Practical and Industry-Specific Case Studies

Building LLMs for Production: Enhancing LLM Abilities and Reliability with Prompting, Fine-Tuning, and RAG

Large Language Models: A Deep Dive: Bridging Theory and Practice