Market Competition and Pricing Model of E-Commerce under the Background of Digitalization

The e-commerce industry is growing rapidly as the Internet is widely used. On major e-commerce platforms, enterprises can use consumer behavior preference analysis to understand key information such as customer demand, market demand and product characteristics, so as to formulate corresponding strategies to meet the needs of target customers and specific groups. Based on this idea, this paper proposes a pricing model of business competition under the digital background, and tests the performance of this model in all aspects. The test results show that the calculation speed is 6m/s, 8m/s, 6m/s, 7m/s, 6m/s. Accuracy range is 82-87%. The error rate of this model in pricing is very small; the maximum error rate is 0.064; the minimum error rate is 0.035. These research results also provide useful references for various stakeholders in the development process of e-commerce, and have a positive impact on the marketing activities of merchants on e-commerce platforms. The result of e-commerce market competition and pricing models in the digital context is to increase the efficiency of market competition and supply-demand matching, promote the application of dynamic pricing models, and increase price transparency and pricing elasticity. These results require companies to observe the market and consumer demand more keenly, and flexibly adjust their pricing strategies to gain a competitive advantage.