| 摘要 |
The computer-implemented garment size recommendation and fit analysis system uses a garment fit algorithm which is trained on actual sales data. A memory stores a virtual profile or model of an end-user and a processor is programmed to receive an end-users selection of a garment and to then determine how well the garment will fit the end-users profile or model using the garment fit algorithm. The algorithm may be trained on a specific retailer in order to adjust their size charts. The sales data may include a list of purchased items in an order and the sizes of the item, the customers body parameters, demographic information, location and fit preference and whether items were kept, returned or exchanged. The algorithm may track trends in consumer purchasing and returns behaviour. |
