£163.40

Accelerating Logistics Through Generative AI and Digital Twins

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Last 76 days · 76 data points (no recent data)

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£163.40 £142.39 £146.97 £151.56 £156.14 £160.73 £165.31 01 May 2026 19 May 2026 07 June 2026 26 June 2026 15 July 2026

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75 days 1 day · current 0 19 38 56 75 £144 £163 Days at Price

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Most common price: £144 (75 days, 98.7%)

Price range: £144 - £163

Price levels: 2 different prices over 76 days

Description

Explore the future of supply chain management with Accelerating Logistics Through Generative AI, Digital Twins, and Autonomous Operations. Published by IGI Global Scientific Publishing, this book addresses the modern requirements of e-commerce and logistics management. As digital transformation changes how goods move around the world, understanding the role of advanced technologies becomes necessary for business leaders. This text provides insights into how generative AI and digital twin technology can be applied to optimize complex logistics networks. It is a valuable resource for those looking to understand the shift toward autonomous operations in the global marketplace. Designed for managers and professionals in the computing and e-commerce sectors, this book serves as a guide to navigating the technical evolution of the industry. It offers a look at how automation and intelligent systems are reshaping standard business practices and operational efficiency.

Key Features

Covers the application of generative AI within modern logistics frameworks.

Explores the use of digital twins to model and optimize supply chain operations.

Provides insights into the implementation of autonomous operations for business efficiency.

Published by IGI Global Scientific Publishing for professional and academic use.

Focuses on the intersection of e-commerce and advanced computing technologies.

Serves as a practical guide for managers navigating digital logistics transformations.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
30 December 2025
Listed Since
10 January 2026

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No barcode data available

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