摘要：E-commerce processes must work in harmony and simultaneously with warehouse and operation activities on the logistics side. E-commerce activities include the processes resulting in positive order requests. Routing orders in a correct and fast way depends on the integrated and seamless solution of warehouse technologies with ERP systems. The aim of this study is to manage the warehouse capacity efficiently by predicting the products to be demanded in the future. In the study, the data of an e-commerce company operating at national level was processed in Azure ML (Machine Learning) Studio and the future and demand forecast values were tried to be calculated. The study in which the new generation machine learning cloud platform was introduced and model performances were measured comparatively aims to plan and develop e-commerce sector and logistics activities based on data.
