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Artificial Intelligence (AI) in the Supply Chain: Fleet Management Solutions

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LSH 25.01.24

Actionable Benefits:

  • Optimize Artificial Intelligence (AI)-based investments in enterprises and infrastructure/assets to maximize efficiency and profitability.
  • Understand the state of the market and future outlook on AI applications.
  • Take a closer look at prominent use cases and solutions in the market.

Critical Questions Answered:

  • What is the revenue potential of AI-enabled revenue in fleet and transport management software?
  • What are some of the key challenges hindering the development and implementation of AI solutions in fleet management?
  • How should fleets build their AI implementation strategy to reap maximum benefits?

Research Highlights:

  • Profiles of key AI-based fleet 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 AI solutions development and application.

Who Should Read This?

  • Fleet management solutions business development, sales, product development, and marketing leaders.
  • Fleet managers, safety managers, and fleet operations executives.
  • Telco, networking, semiconductor, and module vendors.

TABLE OF CONTENTS

Key Findings

State of the Market

What are Key Players Doing

Market Gaps

Revenue Potential

Recommendations Best Practices

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