Modern Economics & Management Forum

Consumer emotion recognition technology combines key technologies such as multimodal data fusion, incremental learning and edge computing, which provides a new optimization path for modern marketing strategies. In this paper, a simulation model of consumer behavior based on the Markov Decision Process is established, and the validity of this technology is verified by numerical simulation and field monitoring. Results show that emotion recognition accuracy increased to 89.7%, strategy response timeliness to 93.0%%, and consumer satisfaction and marketing conversion to 86.5% and 18.9%, respectively. The research proves that emotion recognition technology significantly improves the accuracy and effectiveness of marketing strategies and provides strong support for digital transformation of enterprises. Future development priorities include privacy protection and algorithm interpretability.