供應鏈中的生成式人工智慧：規劃與執行軟體

本報告探討了生成式人工智慧在供應鏈中的應用前景，包括領先的基於人工智慧的供應鏈管理解決方案的概況、開發和應用生成式人工智慧解決方案的最佳實踐，以及針對最終用戶和解決方案提供者的建議。

實際好處：

• 了解生成式人工智慧如何應用於供應鏈規劃
• 評估主要參與者的產品
• 確定市場空白以及將生成式 AI 解決方案推向市場的最佳實踐

重要問題的答案：

• 生成式人工智慧目前如何用於增強規劃和執行軟體？
• 主要的軟體供應商在這個領域做什麼？
• 阻礙生成式 AI 解決方案的開發和實施的主要課題是什麼？

研究亮點：

• 領先的以人工智慧為基礎的供應鏈管理解決方案的概況
• 從解決方案提供者和最終用戶的角度詳細審查市場空白
• 為最終用戶和解決方案提供者提供有關開發和應用生成式 AI 解決方案的最佳實踐的建議

目錄

主要發現

市場狀況

公司詳情

各大公司的努力

市場空白

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