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~/uses/data

Prophet + SQLite.

One time-series model per SKU, persisted in SQLite. Boring storage, honest forecasts.

facebook.github.io (opens in a new tab)

Prophet fits seasonality per SKU without a feature store; SQLite holds the models and forecast tables in a single file that backs up with a copy. No cluster, no serving layer. A cron job and a CSV.

Forecasts the catalog in ~/work/inventory-forecasting-tool.

At scale that meant 7,800 Prophet models converging over a 782,904-row sales velocity frame. A sequential run projected at over 18 hours came down to hours with multiprocessing across physical cores. The pipeline cut the supply-chain planning cycle from days to hours. See ~/work/inventory-forecasting-tool.

used_in: ~/work/inventory-forecasting-tool

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