人工智慧在供應鏈軟體及配套雲端基礎架構的應用規劃：2025 年供應鏈調查

本報告深入分析了人工智慧在供應鏈中的應用，提供了有關企業對人工智慧的認知和挑戰、最終用戶選擇新解決方案的標準，以及針對最終用戶和技術提供者的策略指導等資訊。

關鍵問題解答

• 供應鏈專業人士計畫如何使用人工智慧？
• 他們認為人工智慧最有價值的用途是什麼？
• 企業計畫如何擴展人工智慧及其配套基礎設施？

目錄

引言

主要調查結果

人工智慧應用計畫

對智能體人工智慧能力的認知

目前資料分析能力

計畫投資

實施階段

新解決方案評估標準

部署新技術面臨的挑戰

Actionable Benefits:

• Understand current perceptions of Artificial Intelligence (AI), Generative Artificial Intelligence (Gen AI), and Agentic AI in the supply chain.
• Identify the most prominent use cases for each type of AI.
• Quantify planned investment levels for key applications.

Critical Questions Answered:

• How do supply chain professionals plan to use AI?
• What applications of AI are seen as the most valuable?
• How do companies plan to scale both AI and supporting infrastructure?

Research Highlights:

• Organizations’ perceptions of AI and perceived challenges.
• End0user criteria when selecting new solutions.
• Strategic guidance for both end users and technology providers.

Who Should Read This?

• Supply chain software providers.
• Supply chain consultants and Independent Software Vendors (ISVs).
• Adjacent solution providers such as cloud and networks.

TABLE OF CONTENTS

Introduction

Key Findings

Plans to Use AI

Perception of Agentic AIs Ability

Current State of Data Analytics Capabilities

Planned Investments

Phase of Rollout

Criteria for Evaluating New Solutions

Challenges When Deploying New Technologies