Abstract: A method and a system for predicting demand for a supply chain is disclosed. The method includes feeding input vectors to a trained Machine Learning (ML) model, for a future time-period. The input vectors include an intensity vector corresponding to an intensity of a possible disruption-event at each point of time within the future time-period and a duration vector corresponding to the duration of the possible disruption-event, and one or more extrinsic data vectors. The method further includes obtaining a demand for a target product in the future time-period from the trained ML model based on the input vectors.