Generative Inventory Management by Rao (5 results)

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  • Language: English

    Published by Independently published, 2026

    9798247605287

    • Softcover
    • Print on Demand

    Seller: California Books, Miami, FL, U.S.A.California Books

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    £ 27.05

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    Condition: New. Print on Demand.

  • Language: English

    Published by Independently Published, 2026

    9798247605287

    • Softcover
    • Print on Demand

    Seller: PBShop.store US, Wood Dale, IL, U.S.A.PBShop.store US

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    Condition: New

    £ 29.40

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    PAP. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

  • Language: English

    Published by Independently Published, 2026

    9798247605287

    • Softcover
    • Print on Demand

    Seller: Grand Eagle Retail, Bensenville, IL, U.S.A.Grand Eagle Retail

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    £ 30.71

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    Paperback. Condition: new. Paperback. Inventory management sits at the crossroads of strategy, operations, and technology, where even small decisions can ripple across the entire supply chain. As markets become more volatile, customer expectations rise, and product lifecycles shorten, traditional planning methods struggle to keep pace. Artificial Intelligence (AI) has emerged as a powerful catalyst for change-transforming how organizations forecast demand, optimize stock levels, manage costs, and orchestrate warehouse operations. More recently, Generative AI has added a new dimension by enabling systems that not only analyze historical data but also generate scenarios, recommendations, and decision insights that mirror human reasoning at scale. This book, AI and Generative AI for Inventory Management, is designed as a practical and forward-looking guide for students, professionals, and decision-makers seeking to harness these technologies effectively. Through a structured progression-from foundational concepts and core technologies to advanced applications, real-world projects, and future trends-the chapters explore how AI-driven intelligence can be embedded across the inventory lifecycle. By blending theory, use cases, and hands-on projects, the book aims to bridge the gap between conceptual understanding and real-world implementation, equipping readers to design smarter, more resilient, and adaptive inventory systems in an AI-powered supply chain ecosystem This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

  • Language: English

    Published by Independently Published, 2026

    9798247605287

    • Softcover
    • Print on Demand

    Seller: PBShop.store UK, Fairford, GLOS, United KingdomPBShop.store UK

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    Condition: New

    £ 26.25

    £ 4.16 shipping 
    Ships from United Kingdom to U.S.A.

    Quantity: Over 20 available

    PAP. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

  • Language: English

    Published by Independently Published, 2026

    9798247605287

    • Softcover
    • Print on Demand

    Seller: CitiRetail, Stevenage, United KingdomCitiRetail

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    Condition: New

    £ 29.99

    £ 37.00 shipping 
    Ships from United Kingdom to U.S.A.

    Quantity: 1 available

    Paperback. Condition: new. Paperback. Inventory management sits at the crossroads of strategy, operations, and technology, where even small decisions can ripple across the entire supply chain. As markets become more volatile, customer expectations rise, and product lifecycles shorten, traditional planning methods struggle to keep pace. Artificial Intelligence (AI) has emerged as a powerful catalyst for change-transforming how organizations forecast demand, optimize stock levels, manage costs, and orchestrate warehouse operations. More recently, Generative AI has added a new dimension by enabling systems that not only analyze historical data but also generate scenarios, recommendations, and decision insights that mirror human reasoning at scale. This book, AI and Generative AI for Inventory Management, is designed as a practical and forward-looking guide for students, professionals, and decision-makers seeking to harness these technologies effectively. Through a structured progression-from foundational concepts and core technologies to advanced applications, real-world projects, and future trends-the chapters explore how AI-driven intelligence can be embedded across the inventory lifecycle. By blending theory, use cases, and hands-on projects, the book aims to bridge the gap between conceptual understanding and real-world implementation, equipping readers to design smarter, more resilient, and adaptive inventory systems in an AI-powered supply chain ecosystem This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…