Download the Gartner® Report on Best Practices for Deploying AI in Logistics

There is immense pressure for logistics leaders to drive AI initiatives in logistics given customer expectations or cost pressures. However, selecting the wrong use cases or incorrect AI models or poor data can lead to significant risks & challenges.

Key takeaways:

Get clarity on AI use-cases in logistics,
Decide on Build vs buy vs outsource,
Measure AI benefits & its impact on business outcomes, and
Establish data quality, culture & governance framework.

This is a must-read for supply chain leaders who are evaluating AI to gain a competitive edge in logistics.

Get complimentary access to the Gartner® Report

Source: Gartner, Best Practices for Deploying AI in Logistics, By Analyst(s): Jose Reyes, Carly West, 13 August 2024

GARTNER is a registered trademark and service mark of Gartner, Inc. and/or its affiliates in the U.S. and internationally and is used herein with permission. All rights reserved.

GenAI is a Top-Funded Supply Chain Initiative for 2024

According to Gartner, adopting GenAI, other forms of AI or ML is a top-funded supply chain initiative for 2024. But there is also a risk associated with technology debt due to the pace of change with AI.

Logistics leaders can leverage this research to successfully implement AI.

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