Abstract: A method is disclosed for automatically processing Advanced Ship Notices (ASNs). In one embodiment, the method receives a first set of data associated with an ASN. The method further compares one or more data fields included in the first set of data with a second set of data associated with a Purchase Order (PO). In addition, the method determines a status associated with a shipment of items based on the comparison.

Abstract: A system and method for monitoring document conformance is disclosed. The method may include populating a database with data indicative of contents of a plurality of documents, the plurality of documents including a first document associated with a first supplying entity located at a first facility and a second document associated with a second supplying entity located at a second facility. The method may further include comparing data in the populated database with information indicative of a standard. The method may further include identifying, based on the comparison, repeated instances of non-conforming documents to the standard.

Abstract: A method is disclosed for correcting misdirected Advanced Shipping Notices (ASNs). In one embodiment, the method receives, from a product supplier, a first set of data associated with an ASN, where the first set of data includes an ASN receiving facility identifier. The method also determines a Purchase Order (PO) that is associated with the ASN, where the PO includes a second set of data. The method further compares one or more fields of the first set of data with one or more fields of the second set of data. In addition, the method determines if the ASN was misdirected based on the comparison, and corrects the ASN, when it is determined that the ASN was misdirected.

Abstract: A system for evaluating documents may include a memory location for storing one or more software modules, and a processor for executing the one or more software modules. The one or more software modules may be configured to perform a method. The method may include receiving a baseline record and a potentially matching record. The method may also include identifying baseline record data, and identifying potentially matching record data. The method may further include comparing the baseline record data with the potentially matching record data using matching criteria. The method may also include calculating a score for the potentially matching record based on rank values and weight factors associated with the matching criteria. The score may be a measure of similarity between the baseline record data and the potentially matching record data. The method may further include determining whether a match exists between the baseline record and the potentially matching record based on the score.

Abstract: A method is disclosed for automatically processing Advanced Ship Notices (ASNs). In one embodiment, the method receives a first set of data associated with an ASN. The method further compares one or more data fields included in the first set of data with a second set of data associated with a Purchase Order (PO). In addition, the method determines a status associated with a shipment of items based on the comparison.

Abstract: A system and method are disclosed that provide for processing dealer returns. The system and method include receiving a list of parts from a dealer, wherein the list of parts includes at least one part the dealer seeks to return to a supplier of the part, and determining a return recommendation for each part included in the list of parts, wherein the return recommendation includes a suggested disposition for the part. The system and method further includes providing the return recommendation to the dealer and receiving a response to the return recommendation from the dealer. In addition, the system and method includes providing a return authorization to the dealer based on the return recommendation and the dealer response, wherein the return authorization includes an authorized disposition for each part on the list of parts.