The conversation between human and AI assistant.
How can we use machine learning to predict exception in order flow?
I'm curious about using machine learning to predict exceptions in order flow. How does that work?
Machine learning can use historical data to identify patterns and anomalies in order flow. By analyzing factors such as order volume, location, time of day, and product type, machine learning algorithms can predict when exceptions may occur.