Research on Optimization of Big Data Technology Application Patterns from the Perspective of Supply Chain

Big data technology is transforming corporate development strategies, with an increasing number of enterprises achieving success through the adoption of big data technologies, and gradually extending this impact throughout the entire supply chain. The financial and human resources advantages of manufacturing enterprises place them in a dominant position within the supply chain. Consequently, the effects of their adoption of big data technology on the entire industrial chain are worth further investigation. Based on literature research, a mathematical model for the application of big data in manufacturing enterprises has been constructed, and the changes in profits for manufacturing and retail enterprises under different scenarios have been deduced. Finally, key indicators are assigned values and numerical analysis is conducted. The study finds that the demand sensitivity coefficient for retailer advertising promotion and the demand sensitivity coefficient for big data have a positive impact on the profits of both parties; the advertising promotion cost sensitivity coefficient has a negative impact on the profits of both parties; and the sensitivity coefficient for big data service costs will reduce the profits of manufacturing enterprises, but retail enterprises will benefit from it, ultimately driving an increase in the overall profit level of the supply chain.