ANALYSIS OF THE RECEIPTS OF A RETAILER APPLYING COMPLEX NETWORKS

Abstract

Businesses, stores, and businesses generate large amounts of vouchers and are often the only source of information about how products are related and grouped. Vouchers from a retail store were analyzed using the complex networks approach. The catalog consists of 272 products; On average, a product is related to 10 other articles. From the modularity, 39 item families were identified, from these, 2 examples of offers with items that can be purchased together are shown. The sales form a "small-world" network ordered around three relevant products. His network has reached a state where the probability of a product establishing new connections is minimal. The results were compared with the ABC inventory classification system; the result shows a classification that complements the analysis and management of an inventory.