供应链中的生成式人工智慧：规划与执行软体

本报告探讨了生成式人工智慧在供应链中的应用前景，包括领先的基于人工智慧的供应链管理解决方案的概况、开发和应用生成式人工智慧解决方案的最佳实践，以及针对最终用户和解决方案提供者的建议。

实际好处：

• 了解生成式人工智慧如何应用于供应链规划
• 评估主要参与者的产品
• 确定市场空白以及将生成式 AI 解决方案推向市场的最佳实践

重要问题的答案：

• 生成式人工智慧目前如何用于增强规划和执行软体？
• 主要的软体供应商在这个领域做什么？
• 阻碍生成式 AI 解决方案的开发和实施的主要课题是什么？

研究亮点：

• 领先的以人工智慧为基础的供应链管理解决方案的概况
• 从解决方案提供者和最终用户的角度详细审查市场空白
• 为最终用户和解决方案提供者提供有关开发和应用生成式 AI 解决方案的最佳实践的建议

目录

主要发现

市场状况

公司详情

各大公司的努力

市场空白

Actionable Benefits:

• Understand how Generative Artificial Intelligence (Gen AI) is being applied for supply chain planning.
• Assess product offerings of key competitors.
• Identify gaps in the market and best practices bringing Gen AI solutions to the market.

Critical Questions Answered:

• How is Gen AI currently being used to augment planning and execution software?
• What are leading software providers doing in this space?
• What are some of the key challenges hindering the development and implementation of Gen AI solutions?

Research Highlights:

• Profiles of key AI-based supply chain management solutions.
• An in-depth review of market gaps from solution provider and end-user perspectives.
• Recommendations to end users and solution providers on best practices related to Gen AI-solutions development and application.

Who Should Read This?

• Supply chain software providers.
• System integrators and Independent Software Vendors (ISVs).
• Supply chain planners.

TABLE OF CONTENTS

Key Findings

State of the Market

Enterprise Specifics

What Are Key Players Doing

Market Gaps