Techniques and architectures for recommending products based on work orders

    公开(公告)号:US11544762B2

    公开(公告)日:2023-01-03

    申请号:US16773727

    申请日:2020-01-27

    摘要: A system and related processing methodologies for recommending a product based on a work order are described. The system receives an input case description, including a current repair item and a current work type. Historical work orders associating a plurality of products with repair items and work types are searched for a co-occurrence of the repair item matching the current repair item, and the work type matching the current work type. Upon finding a match, the product associated with the match is added to a set of candidate products for the current work order. A similarity measure between the candidate product and current work order description, a current work type category, and popularity of the candidate product is generated and then used in the generation of a probability score for the candidate product and current work order. If the probability score meets a threshold, the candidate product is recommended.

    TECHNIQUES AND ARCHITECTURES FOR RECOMMENDING PRODUCTS BASED ON WORK ORDERS

    公开(公告)号:US20210150610A1

    公开(公告)日:2021-05-20

    申请号:US16773727

    申请日:2020-01-27

    摘要: A system and related processing methodologies for recommending a product based on a work order are described. The system receives an input case description, including a current repair item and a current work type. Historical work orders associating a plurality of products with repair items and work types are searched for a co-occurrence of the repair item matching the current repair item, and the work type matching the current work type. Upon finding a match, the product associated with the match is added to a set of candidate products for the current work order. A similarity measure between the candidate product and current work order description, a current work type category, and popularity of the candidate product is generated and then used in the generation of a probability score for the candidate product and current work order. If the probability score meets a threshold, the candidate product is recommended.