It's odd that OP didn't seem to consider applying the nearest cached value for any given slider stop.
The Gaussian frequency was a cool idea, however.
Also, I would speculate that projected sales would likely be a continuous function in most cases, so I'm curious why they didn't try fitting a function based on initial results.
Ah, good point. To be honest, interpolation didn't even cross my mind.
The model output wasn't just one number, it was a messy JSON with a 12-week forecast. Trying to average two of those felt like a whole other task, and with the deadline, my brain was just stuck on how to pick the right numbers to cache.
But yeah, it's a really great idea. Will definitely keep it in mind for the next demo.
The Gaussian frequency was a cool idea, however.
Also, I would speculate that projected sales would likely be a continuous function in most cases, so I'm curious why they didn't try fitting a function based on initial results.