RETAIL SALES FORECAST SYSTEM WITH PROMOTIONAL CROSS-ITEM EFFECTS PREDICTION

摘要

A system that predicts promotional cross item (“PCI”) effects for retail items for a store receives historical sales data for the store and stores the historical sales data in a panel data format. The system then aggregates the stored sales data as a first level of aggregation that is aggregated to the store, a product and a time period. The system further aggregates the first level of aggregation aggregated data as a second level of aggregation that is based on a promotional cross effect attribute (“PCEA”) and is aggregated to the store, the time period and a PCEA level. The system derives PCI effect predictor variables from the second level of aggregation and, for each PCEA within a retail item family, forms a regression model. The system then generates estimated model parameters for one or more PCI effects for each PCEA from the regression models.

主权项

1. A computer-readable medium having instructions stored thereon that, when executed by a processor, cause the processor to predict promotional cross item (PCI) effects for retail items for a store, the predicting comprising:
receiving historical sales data for the store; storing the historical sales data in a panel data format; aggregating the stored sales data as a first level of aggregation, wherein the first level of aggregation is aggregated to the store, a product and a time period; aggregating the first level of aggregation aggregated data as a second level of aggregation, wherein the second level of aggregation is based on a promotional cross effect attribute (PCEA) and is aggregated to the store, the time period and a PCEA level; deriving PCI effect predictor variables from the second level of aggregation; for each PCEA within a retail item family, forming a regression model; and generating estimated model parameters for one or more PCI effects for each PCEA from the regression models.