Identification of Buyer-Supplier Relationship Variables of an Organization using Machine Learning

The establishment of efficient buyer-supplier partnerships can facilitate the handling of unpredictability and enhance the efficacy of the supply chain for all parties involved. Achieving enhanced supply chain performance, which entails augmenting sales while reducing inventory levels across the system and aligning supply with demand, necessitates collaborative efforts between buyers and suppliers. Neglecting to adhere to this requirement could potentially lead to both shipment delays and inferior quality of the disseminated merchandise. The maintenance of low expenditures is associated with enhanced organizational performance, prompt and adaptable response to consumer demands, enduring customer allegiance, and a favorable corporate reputation.Through an examination of existing research on the subject of buyers and suppliers, this study provides insight into buyer-supplier interactions’ significance in regard to organisational performance. Specifically, the study focuses on identifying interactions between buyers and suppliers with the help of machine learning by construction of ontologies.