人工智慧在供应链软体及配套云端基础架构的应用规划：2025 年供应链调查

本报告深入分析了人工智慧在供应链中的应用，提供了有关企业对人工智慧的认知和挑战、最终用户选择新解决方案的标准，以及针对最终用户和技术提供者的策略指导等资讯。

关键问题解答

• 供应链专业人士计画如何使用人工智慧？
• 他们认为人工智慧最有价值的用途是什么？
• 企业计画如何扩展人工智慧及其配套基础设施？

目录

引言

主要调查结果

人工智慧应用计画

对智能体人工智慧能力的认知

目前资料分析能力

计画投资

实施阶段

新解决方案评估标准

部署新技术面临的挑战

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