For a large environment with performance and scalability needs, I'd recommend the SAN solution. It's designed to handle high-volume workloads and can scale as the company grows. The only thing I'd double-check is the budget, but overall, SAN seems like the best fit based on the information provided.
Okay, let's see. For an inventory prediction model, I think a Recurrent Neural Network (RNN) would be a great choice. It can handle the sequential nature of the data and learn from the daily updates. I'm pretty confident that RNN is the way to go here.
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