SAP Ariba Sourcing, supplier prediction

SAP Ariba Sourcing leverages machine learning to recommend the best suppliers for guided sourcing events based on historical data from similar events. This includes details such as item names, event types, departments, commodities, regions, material numbers, and past supplier performance, including invitations and contracts. The recommendation engine continuously improves: If you retrain the model, it learns from past user selections. For example, if 10 suppliers are suggested but only six are chosen, the model refines its future recommendations accordingly.

Benefits

• Identify and invite the most suitable suppliers for your sourcing events, improving decision-making and event outcomes
• Automatically suggest suppliers based on historical data, reducing manual effort and accelerating event setup
• Learn from user selections, leading to progressively better supplier matches for your sourcing needs