This last year has shown us that 1. Supply chains are what keep the world running, and 2. Disruptions can have a massive impact. This is why spotting and addressing those disruptions quickly is one of the most important factors of a successful supply chain. However, manual processes are both time consuming and open to human error. And this is where artificial intelligence (AI) and machine learning comes in.
In this guide, we’ll explore:
- How these capabilities can give you greater insight and visibility into issues
- The ways that they can be applied to address exceptions before they cause disruption
- The effects of data overload that these tools can cause, and how to avoid it
- How to fit an AI-driven solution into your existing workflows
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