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In the world of increasing artificial intelligence (AI) use cases, the transportation management industry landscape is one of the fastest changing and AI applicable use case scenarios in the business world. In this white paper, we aim to explore two parts:
i. Generative AI, AI copilot, data contextualization, Joule and other generative AI.
ii. AI and its use cases in supply chain management, which include what-if analysis, predicting estimated time of arrival and traffic, predicting environmental
factors and their influence on the supply chain in general.
What you get out of it:
- Learn about Generative AI and its applications
- Understand AI copilot and data contextualization
- Delve into AI and its use cases in Supply Chain
