Repeatability index to enhance seasonal product forecasting
OwnerArash Bateni, Edward Kim +1inventors
InventorsArash Bateni, Edward Kim, David Chan
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Abstract
A repeatability score is described for determining the quality and reliability of product sales data for generating seasonal demand forecasts. The repeatability scores are calculated from seasonal sales data stored in a data warehouse. Products are sorted based on their reliability scores such that those products that are highly seasonal and have a reliable year-to-year demand pattern are used to form initial or unique demand models. Products that are determined to be less reliable based on their repeatability score are added to the unique demand models through an iterative matching process or left out of the unique demand models.
Claims20
A machine implemented method comprising:
- determining a plurality of repeatability scores based on sales data, each of the repeatability scores associated with one of a plurality of products;
- selecting at least one of the products based at least in part on the repeatability score associated with the selected product;
- and
- generating a model of future demand for the selected at least one product.
A machine implemented method for generating a quality metric comprising:
- calculating a seasonal demand for a product using stored demand data;
- calculating a residual for the product based on the seasonal demand and the stored demand data;
- and
- generating a quality metric by comparing the residual to a variation of the seasonal demand.
A system comprising:
- a database comprising a plurality of entries;
- each of the entries corresponding to a product-location and comprising sales data;
- a repeatability score module configured to access the database and determine a repeatability score for each of the plurality of entries;
- and
- a demand model generator configured to access the database and receive the repeatability score for each of the plurality of entries, the demand model generator further configured to generate seasonal demand forecasts for a subset of the plurality of entries using the corresponding sales data, the demand model generator further configured to select the subset based at least in part on the repeatability score for each of the plurality of entries.
Dependencies are inferred from the claim text.