Abstract: A system and method for demand forecasting is provided. The system includes a computer system and a demand forecasting engine executed by the computer system. The demand forecasting engine permits inventory management and price optimization, with improved prediction accuracy. The system includes a nonlinear time series model which is able to simulate the market trend of a certain product in the past and make a demand forecast for the future. The system provides initial estimates for new products in a new season, and is self-adjusting with limited data points in the beginning of the season. In this way, the system provides solutions for demand forecasting of old and new products. Furthermore, pricing optimization solutions (e.g., Markov decision processed (MDP) based, etc.) can be built on the basis of the demand forecasting solutions. The system is applicable to many marketing-related problems and is particularly reliable for products which follow a certain cycle.