Basically that is what I now have... I know a lot of codes, I know the logistic process in real life, I know what can go wrong... Maybe that is good enough or even better than AI/ML ever can...
90% or 95% of all parcels are okay, mainstream process. Those 5% exceptions, or parcels with issues, is where I want to be 'smart'. But to be able to train AI/ML, I need to label states to situations...And when I label them, then I already know the answer.
Maybe AI/ML is not the solution. Or maybe it is when I want to add another carrier service, to be able to detect their flow faster?
One thing you can try is to use GPT4 and see if they can label the situations themselves. Can you give a specific example of an exception that happens and what are the actions that take? If the actions are in a limited scope and the input is human readable, it might work
Basically that is what I now have... I know a lot of codes, I know the logistic process in real life, I know what can go wrong... Maybe that is good enough or even better than AI/ML ever can...
90% or 95% of all parcels are okay, mainstream process. Those 5% exceptions, or parcels with issues, is where I want to be 'smart'. But to be able to train AI/ML, I need to label states to situations...And when I label them, then I already know the answer.
Maybe AI/ML is not the solution. Or maybe it is when I want to add another carrier service, to be able to detect their flow faster?
One thing you can try is to use GPT4 and see if they can label the situations themselves. Can you give a specific example of an exception that happens and what are the actions that take? If the actions are in a limited scope and the input is human readable, it might work