Improvement of Perishable Products Inventory Management Using Data Science Methods and Tools

This work is devoted to improving the process of managing the inventory of perishable goods in a grocery retailer to improve the efficiency of the enterprise by reducing the level of inventories and the number of write-offs of spoiled products. The purpose of this work is to provide recommendations for improving the inventory management system for perishable goods based on the developed solution using the analytical platform The tasks in this work are set as follows: ● Conduct an analysis of the company's competitive environment, identify possible bottlenecks and sources of growth. ● Consider the financial and economic indicators of the company in order to assess the current state of affairs. ● Investigate the company's logistics activities, consider the main indicators of logistics and identify possible problems in this area. ● Consider inventory management practices, including in the area of ​​perishable goods. ● Investigate requirements determination methods to calculate the optimal order size. ● Develop a new inventory management algorithm for perishable categories. ● On the basis of the developed algorithm, create an analytical solution that will improve the efficiency of managing processes and stocks of perishable goods. ● Assess the cost-effectiveness of the proposed solutions. The result of this work is proposals for improving the inventory management system for perishable products of the focus company using a solution based on an analytical platform and using forecasting methods. The recommendations will help to reduce the level of stocks and losses from write-offs, improve the accuracy of forecasting the demand, and also reduce the time it takes to complete some operations. Work structure This work consists of 3 chapters, conclusion, bibliography (24 sources). The text of the work is written on 53 pages, includes 35 figures, 11 tables.