Ahmad Sadeddin

In an embodiment, a computer-implemented method comprises storing, in one or more data repositories, transactional data relating to past transactions involving a plurality of commodities between a plurality of buyer entities and a plurality of supplier entities; calculating metric data of one or more overages from the transactional data, wherein each of the one or more overages indicates an amount to which a cost of a commodity item as specified in an invoice exceeds a cost of the commodity… Show more

In an embodiment, a computer-implemented method comprises storing, in one or more data repositories, transactional data relating to past transactions involving a plurality of commodities between a plurality of buyer entities and a plurality of supplier entities; calculating metric data of one or more overages from the transactional data, wherein each of the one or more overages indicates an amount to which a cost of a commodity item as specified in an invoice exceeds a cost of the commodity item as specified in a requisition or a purchase order, the invoice being generated in response to the requisition or the purchase order; receiving, from a computer associated with a buyer entity, a request to generate a requisition or a purchase order for one or more commodity items; identifying, from the request, a supplier identification (ID) associated with a particular supplier entity of the plurality of supplier entities or a commodity ID associated with a particular commodity of the plurality of commodities, for a particular commodity item of the one or more commodity items; calculating a projected total cost for the particular commodity item from the metric data using the supplier ID or the commodity ID, the projected total cost indicating a probable cost for the particular commodity item based on previous transactions that included the particular commodity item and particular supplier entity; in response to determining that the projected total cost for the particular commodity item is less than a threshold value, transmitting an approval of ordering the particular commodity item. Show less

Touchless supplier information management. A computer-implemented method comprises, before a delayed processing timing has been met, obtaining supplier record data for supplier records created for a particular supplier as a first set of supplier record field values. The supplier records were created based on a previous version of a master supplier record for the particular supplier. The previous version of the supplier record was determined based on a previous set of supplier record data… Show more

Touchless supplier information management. A computer-implemented method comprises, before a delayed processing timing has been met, obtaining supplier record data for supplier records created for a particular supplier as a first set of supplier record field values. The supplier records were created based on a previous version of a master supplier record for the particular supplier. The previous version of the supplier record was determined based on a previous set of supplier record data for a previous set of supplier records created for the particular supplier. When the delayed processing timing has been met, a new master supplier record of the particular supplier based on the first set of supplier record field values. A request to create a new supplier record for the particular supplier is received, particular supplier record data is determined based on the new master supplier record for the particular supplier, and the data is provided in response to the request. Show less

Technologies for computing a relativized entity score include generating first actionable output that identifies a particular supplier and an intrinsic score for the particular supplier that is calculated using intrinsic factor data for the particular supplier, where the intrinsic factor data is obtained from a plurality of instances of procurement software; determining a set of weights using peer spend data of a set of peer suppliers, where the set of peer suppliers is identified based on… Show more

Technologies for computing a relativized entity score include generating first actionable output that identifies a particular supplier and an intrinsic score for the particular supplier that is calculated using intrinsic factor data for the particular supplier, where the intrinsic factor data is obtained from a plurality of instances of procurement software; determining a set of weights using peer spend data of a set of peer suppliers, where the set of peer suppliers is identified based on a spend label that is associated with the peer spend data by an artificial intelligence-based process; applying the set of weights to a set of intrinsic scores for the set of peer suppliers to produce a set of peer scores, where a weight in the set of weights is calculated using the peer spend data; aggregating the set of peer scores to produce an aggregate peer score; generating second actionable output, where the second actionable output modifies or supplements the first actionable output based on a comparison of the intrinsic score for the particular supplier to the aggregate peer score, where the method is performed by one or more computing devices. Show less