Abstract: A supply chain optimization method and system for at least one supply chain entity are provided. Input data related to a supply chain to be optimized is collected in real-time. A decision problem specific to and supply chain parameter(s) to be optimized for the at least one supply chain entity are inferred in real-time from the input data. A conversational user interface is used to query the user in real-time in order to gather additional supply parameter(s) to be optimized and a natural language input is received in real-time, via the conversational user interface, in response to the query. The natural language input is parsed in real-time to gather the additional supply chain parameter(s) and a solution to the decision problem is output based on the additional optimization parameter(s).