Our time series prediction solution, validated through various real-world applications related to pricing policies, has proven its utility. Examples include forecasting China’s automotive sales for a leading domestic steel company, predicting raw material prices for Korea Southern Power, and forecasting carbon emission permit prices for Korea Investment & Securities. Based on the Fusion Network prediction model, it demonstrates high utility across diverse patterns of time series data, supported by a high explanatory power for the impact of key factors.