> Just for curiosity, is the # of forecasts due to SKU/locations, or due to granularity of series (i.e. let's forecast absolutely every KPI driver, as well as on different time scales).
In our case, the big number was due to SKU/locations. But in other use cases, it could be due to multiple KPIs.
> Apologies if that's an low level question, the Walmart blog was relatively large in use case.
I agree. I was trying to highlight the amount of infrastructure and setup required to scale forecasts. While that makes sense for their scale, there are hardly any options to achieve that without dealing with infra.
> Apologies if that's an low level question, the Walmart blog was relatively large in use case.
I agree. I was trying to highlight the amount of infrastructure and setup required to scale forecasts. While that makes sense for their scale, there are hardly any options to achieve that without dealing with infra.