It’ll probably be a deep learning model - some time series model that can factorise multiple input features like an RNN or LSTM. Those things work well within certain tolerances of their training data and are significantly more appropriate for this sort of thing than an LLM but as soon as something unusual happens they can react very weirdly - hopefully there are deterministic programmed guardrails that kick in and summon a human in edge cases.