Digitalization affects many industries, including the service sector. In this area, under the influence of the “digitalization” of the economy, there is a tendency to transfer consumer demand to the Internet. The processes of digitalization of retail trade began several years ago, but during the coronavirus pandemic, they accelerated several times, as evidenced by the growth of turnover of Internet companies. The aim of the study is to predict the share of e-commerce in the structure of retail trade. Research methods: description, comparison, analogy, generalization and analysis. In the course of the study, the dynamics of retail trade, including Internet trade, was analysed, the impact of the pandemic on retail trade was analysed, and factors affecting structural changes in retail trade were identified. On the basis of linear regression, a model of the influence of the growth rate of e-commerce volumes on the growth rate of offline turnover is constructed. The forecast showed an increase in e-trade turnover, therefore, an increase in its share in the overall structure of retail trade. The pandemic accelerated the increase in the share of Internet trade in 2020 and adjusted forecasts for the following periods. The significant growth of ecommerce caused by the pandemic will slow down in the coming years, but the trend of buyer and seller switching to the Internet will continue, which will lead to structural changes in retail.

The purpose of this study is, using the example of sugar production, to identify parametric characteristics and relationships that make it possible to simulate an algorithm and assessment procedures for predicting the possible results of the economic activity of processing organizations in the context of unstable business relations with suppliers of beet raw materials. The developed methodological approach is based on the classification of factors and conditions by sources of occurrence (external, conjugate and internal environment). When modeling scenario and situational changes, the assumptions inherent in the law of “diminishing returns” were made. In particular, only units of the conjugate environment (beet losses during storage and transportation; sugar losses during storage and in production; conjugation coefficient) are presented as dynamic (subject to change) indicators, the rest are positioned as constants, justifiably unchanged in the short term. Approbation of the proposed valuation procedures made it possible to identify imbalances in the level of dynamics of the resulting indicators (specific profit from sales (per ton of product) and profitability of sales with deviations in the values of the conjugation coefficient of the relative base level characterizing the balance of business relations with suppliers. Based on the results obtained, a conclusion was made about the possibility of manifestation of the established disproportions and the effective use of the proposed methodological approach for their leveling in the subjects of other industries.