This disclosure relates generally to supply chain networks and more particularly to methods and systems for identifying risks and associated root causes in supply chain networks. In one embodiment, the method includes receiving, via a risk analyzing device, a user query; performing, via the risk analyzing device, natural language processing and text analysis on the user query to derive contextually relevant keywords from the user query; categorizing, via the risk analyzing device, the contextually relevant keywords into a risk category selected from a plurality of risk categories; identifying, via the risk analyzing device, a risk in the supply chain network based on the contextually relevant keywords and the risk category; and detecting, via the risk analyzing device, a root cause from amongst a plurality of root causes associated with the risk using a causal analysis.