Leveraging the Commerce Graph for Optimizing Digital Commerce

As a dynamic network that links important elements of the commerce ecosystem, including buyers, sellers, products, and transactions, the Commerce Graph is a ground-breaking development in digital commerce. By using advanced centrality metrics, such as degree, betweenness, and closeness, to identify key consumers and products, this study exemplifies its capacity for transformation. The findings show that the most important roles in the network are played by customers with higher centrality ratings (such as IDs 66, 91, and 47) and well-known products (such as IDs 102, 104, and 100). With the top buyers in 2018 displaying noteworthy engagement tendencies, temporal research reveals changing customer behaviours. Additionally, buyer and product clusters are found using community detection employing the Louvain algorithm, allowing segmentation tactics to maximise marketing and consumer engagement. The study offers practical insights that may be used to improve corporate operations and identify targets for customized promotions. This study makes the Commerce Graph an essential tool for tackling issues like scalability and incorporating sophisticated algorithms.