Abstract
The present disclosure relates to a method and a system method for simulating autonomous procurement negotiations. The present disclosure suggests receiving configuration data defining a procurement scenario and at least one procurement participant profile. After receiving the data, the present disclosure suggests generating a plurality of counterparty profiles corresponding to potential procurement participants based on the configuration data. Thereafter, the present disclosure suggests generating a plurality of procurement proposals based on the procurement participant profile and the plurality of counterparty profiles. Upon generating the procurement proposals, the present disclosure suggests evaluating the plurality of procurement proposals to generate respective evaluation results. Subsequently, the present disclosure suggests determining a procurement outcome based on the evaluation results. Further, the present disclosure suggests generating output data associated with the procurement outcome. As a result, the present disclosure enables dynamic simulation and evaluation of procurement interactions to determine procurement outcomes.
Creative Commons License
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Recommended Citation
Gautam, Pranjal and Goyal, Sakshi, "A MULTI-AGENT ARTIFICIAL INTELLIGENCE SANDBOX FOR AUTONOMOUS PROCUREMENT NEGOTIATION AND FRAUD DETECTION", Technical Disclosure Commons, ()
https://www.tdcommons.org/dpubs_series/12569