For example, I work on developing a logistics management and route optimization platform. If I try to envision new features that could be unlocked through AI or just LLMs, I basically get nothing back from my feeble brain, that I would fit into this category. E.g. - automate incident handling (e.g. driver broke down, handle redirection of other driver, handover of goods, reoptimize routes) - but the implementation would be just a decision tree based on a couple of toggles and parameters - no AI there? Other things that come to mind - we already use ML for prediction of travel times and service durations - it's a known space, that I refuse to call AI.
Apart from serving as an alternative and sometimes more efficient interface for data queries through NLP (e.g. "tell me which customers I had margin lower than 20% on, due to long loading times and mispackaged goods" - even then, all the data already needs to be there in appropriate shape, and it's just replacing a couple of clicks), I really fail to see new use-cases / features that the current state / hype for AI / LLMs unlocks.
Am I just lacking vision? Are there opportunities I'm grossly overlooking?