DISTRIBUTED INFORMATION PROCESSING AND CLOUD SERVICES IN COMMERCE, AN ANALYSIS OF PRIOR RESEARCH

This paper examines the practice-oriented aspects of integrating distributed information processing (DIP) systems into cloud services (ClS) of trading companies. The use of cloud technologies (ClT) in trade is analyzed, revealing their key role in optimizing many business processes, including: supply chain management, including monitoring of logistics processes, forecasting delivery times and route optimization; demand forecasting based on the analysis of historical data on sales, seasonality and market trends; personalization of customer experience, etc. It is shown that the integration of ROI systems with ClS provides unique opportunities for processing big data in real time, reducing costs associated with maintaining local IT infrastructure, increasing the flexibility of business models, etc. It is substantiated that the implementation of ClT contributes to the reduction of capital expenditures due to the use of IaaS, PaaS and SaaS models, providing enterprises of the trade sphere with access to data storage and processing capacities, ready-made software solutions and platforms for development and reducing the need for large investments in the local IT infrastructure. It is ill