We work on developing corporate growth strategies using reinforcement learning and conducting marketing analysis to elucidate the interaction between consumer behavior and AI. Through this research, we aim to enhance data-driven decision-making and realize economic systems that support corporate competitiveness and sustainable growth.
We explore methods to accelerate corporate growth through the construction of economic models using reinforcement learning. Our goal is to develop practical reinforcement learning models that promote corporate growth and provide optimal strategies and guidance for sustainable growth under varying economic conditions.
We aim to contribute to the optimization of marketing strategies for online shopping by clarifying issues such as how the display of sold-out items affects consumer purchase motivation and how pricing relates to user churn. We also aim to enable more effective marketing initiatives through AI-powered data analysis.
