These last two years have shown us that 1. Supply chains are what keep the world running, and 2. When parts and materials suppliers experience disruptions, it can have a massive impact that sends ripples far down the line. This is why spotting and addressing those disruptions quickly is one of the most important factors of a successful manufacturing supply chain — especially when it comes to just-in-time shipments during peak season. However, manual processes are both time consuming and open to human error.
And this is where the artificial intelligence (AI) and machine learning that powers solutions like Shipwell’s Compass Dashboard 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
Download our guide to leveraging AI in exception management
White Paper Download
Download our guide to leveraging AI in exception management.