Abstract: A method implemented by computer servers associated with a procurement services platform includes accessing data for a set of transactions associated with a potential procurement transaction between a purchaser entity and a plurality of supplier entities. The transactions include a line-item. The method includes inputting the data for the set of transactions into a machine-learning model trained to generate a prediction of a price quotation for each of the plurality of supplier entities based on the line-item. The prediction of the price quotation includes an estimated reasonable price for a supplier entity to supply a product or service to the purchaser entity. The method includes generating, by the machine-learning model, the prediction of the price quotation for each of the plurality of supplier entities and generating a recommendation for each of the plurality of supplier entities based on the prediction of the price quotation.

Abstract: A method implemented by computer servers associated with a procurement services platform includes accessing data for a set of transactions associated with a potential procurement transaction between a purchaser entity and a plurality of supplier entities. The transactions include line-items. The method includes inputting the data for the set of transactions into a machine-learning model trained to generate a preferential ranking for each of the plurality of supplier entities based on the line-items. The preferential ranking includes an estimated preference of the purchaser entity for a supplier entity of the plurality of supplier entities to supply a product or service to the purchaser entity. The method further includes generating, by the machine-learning model, the preferential ranking for each of the plurality of supplier entities, and providing, based on the preferential rankings, a recommendation of preferential supplier entities for supplying the product or service to the purchaser entity.

Abstract: A method implemented by computer servers associated with a procurement services platform includes accessing data for a set of transactions associated with a potential procurement transaction between a purchaser entity and a plurality of supplier entities. The transactions include a line-item. The method includes inputting the data for the set of transactions into a machine-learning model trained to generate a prediction of a price quotation for each of the plurality of supplier entities based on the line-item. The prediction of the price quotation includes an estimated reasonable price for a supplier entity to supply a product or service to the purchaser entity. The method includes generating, by the machine-learning model, the prediction of the price quotation for each of the plurality of supplier entities and generating a recommendation for each of the plurality of supplier entities based on the prediction of the price quotation.