The paper discusses features of joint application of fuzzy cognitive maps (FCM) and algorithms for detecting structural shifts in the combined monitoring of prices in commodity markets, including (1) digital monitoring to detect structural shifts in the time series of the object of observation, (2) situational monitoring of the environment of its functioning to structure the current situation and generate signals about its changes, (3) information exchange control and formation of output aggregated signals. Integration of such methods is based on digital processing of analytical and expert information, which makes it possible to take into account information about changes in the environment of object functioning (occurred, expected or possible) and improve the quality of detection, form variants of possible changes in object state; and thus, ultimately, to improve the efficiency of solving target tasks of analysis and forecasting of controlled object.