forecasting errors are usually not brought on by bad time-series models.
They're brought on by ignoring structure.
SKUs don't behave independently. They interact through shared plants, product groups, warehouses, and storage locations. A requirement shock...
in supply-chain planning has traditionally been treated as a time-series problem.
Each SKU is modeled independently.
A rolling time window (say, last 14 days) is used to predict tomorrow’s sales.
Seasonality is captured, promotions are added,...
of Shopify, recently told his employees in an internal memo: “Before asking for more headcount and resources, teams must exhibit why they can not get what they need done using AI”.
Having worked in...