Global AI use cases transport and logistics industry 2020

Published by
Bergur Thormundsson,
Mar 17, 2022
In the transport and logistics industry, 40 percent of respondents state that artificial intelligence can help improve inventory management. Through the implementation of AI, businesses can create smarter manufacturing and distribution centers. That is, AI has the capacity to understand complex real-time inventory control dynamics, predict scenarios, recommend actions, and act accordingly.

AI use cases in the transport and logistics industry worldwide in 2020

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Release date

April 2020

Region

Worldwide

Survey time period

January to February 2020

Number of respondents

1,000*

Special properties

C-suite executives, directors, heads of AI, heads of data or analytics

Method of interview

Questionnaire and personal interview

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Overview

3

Infrastructure

6

Applications

8

Industries

7

Investments

5

Companies

3

Further related statistics

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Topics

Artificial intelligence (AI) on the cloudArtificial intelligence (AI) worldwideArtificial intelligence (AI) adoption, risks, and challengesESG and artificial intelligence (AI)Artificial intelligence (AI) in labor and productivity
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