AI in ERP isn’t really a good fit anyways. Ever try to do something with AI that needed to be very specific? I can bet you got really frustrated because AI doesn’t do specifics well. That means it’s not well suited for things like accounting, which is really what an ERP at it’s base is for. It’s for keeping track of all of the minute details accurately.
AI does a great job making something generically close really fast. But refining it from there is, at the current state of AI, not possible.
Here’s an example. I was trying to get some visualization for a kitchen remodel. We want cabinets to go all of the way to ceiling. Now matter how much I asked, it would not actually make a picture with the cabinets extending to the ceiling. It would tell me it did, but not do it. Then when I asked, it will admit that it didn’t, apologize and then make another picture and still not do it.
Edit: :dumpster_fire: Unacceptable. Epicor, do not touch my code
This is a prime example of AI being used poorly. Jose and Josh looked at what this was doing, and it’s a gross regex search that will find things that aren’t relevant to what’s intended as slap a breaking change into custom code. Using AI to generate regex is awesome, but if you don’t pay attention to what it’s doing, this is what you get. AI makes COMPETENT people faster. It does not make incompetent people competent.
:End edit
If that’s what we’re going to get with AI in ERP, it’s going to be useless. I’ve seen demos of a couple of AI solutions connected to and ERP and you ask it something simple like “How many open orders to I have for customer X” and it very confidently answers completely wrong. So if I didn’t know how to check my answer, I wouldn’t be able to know if it’s correct or not. It spits out seemingly intelligent answers which look great on a demo, but pull back the curtain and you have a wizard spewing inaccurate information. That’s not acceptable for software that is used for accounting.
So long story short, a 10% increase to chase the AI bubble is a kick in the nuts, because they are leaving the low hanging fruit on the ground and alienating customers with rapidly declining quality of their core product.