Multi Criteria Decision Making with Marketplace Products Dynamics for Marketplace Product Selection

In the e-commerce sector, product portfolio selection varies depending on many variables such as competition, profitability, customer satisfaction, seasonality, etc. This problem is one of the multi-layered problems of the e-commerce industry. In this study, the selection of products that can be sold by different merchants in the same marketplace channel from the products in the marketplace sales channel is discussed. The sequencing results of the Multi Criteria Decision Making (MCDM) approach obtained by the Weighted Aggregated Sum Product Assessment (WASP AS), Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) and Multi-Objective Optimization based on Ratio Analysis (MOORA) methods were compared with the traditional univariate turnover-based approach. A parametric model was created according to the traditional approach, which is a ranking method by turnover. As a result, a multivariate approach was developed for the new product selection stage for the marketplace and demonstrated to the marketplace merchants.