METHOD AND SYSTEM FOR AUTOMATICALLY GENERATING RECOMMENDATIONS FOR A CLIENT SHOPPING LIST

METHOD AND SYSTEM FOR AUTOMATICALLY GENERATING RECOMMENDATIONS FOR A CLIENT SHOPPING LIST

A recommender system for use on a mobile platform or other computing device provides a user with a recommended list of products with default product quantities that are based on prior purchase behavior of the user or customer. This feature relies on analyzing a customer's past purchases and ass...

Ausführliche Beschreibung

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Bibliographische Detailangaben
Hauptverfasser: KANG Andrew, HOGAN Michael, MCQUILLAN Dan, ALLOR Grant, FRANKLIN Tim, HIRSCH Robert, WATTS Joseph, OPALKO Olga
Format: Patent
Sprache:eng
Schlagworte:
CALCULATING
COMPUTING
COUNTING
DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES
PHYSICS
SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR
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Beschreibung
Zusammenfassung:A recommender system for use on a mobile platform or other computing device provides a user with a recommended list of products with default product quantities that are based on prior purchase behavior of the user or customer. This feature relies on analyzing a customer's past purchases and associating a score with each product. The scoring system indicates the statistical likelihood that the customer would want or need to purchase that item on their next order. The customer analysis takes into account, e.g., the number of times a customer has ordered a product, how frequently the product is ordered by the customer, how many days since the respective customers last order and the customers average order size in providing the recommended list of products.