I apologize for how this post might come across, but your question is actually a very deep one and it will probably take a lot of up front work to get you an answer. Ai/ml is not like cinnamon- you can’t just sprinkle it on your business process and expect it to improve.

First you need to start with instrumenting your processes and building your data warehouse. Is your production flow instrumented for quality and efficiency measurement? If so, are the instruments verified? Do you have baseline performance metrics defined and expectations for improvement? Do you currently conduct any statistical process control? All of these questions have books that go with them, and we haven’t even built a trainable model yet.

I would start with some industrial engineering and applied stats textbooks and go from there. That should give you some idea of how to formulate a hypothesis and determine a method to validate it. From there you can start with the classics like an introduction to statistical learning by James et al and introduction to machine learning by alpaydin.