System and method for automated sales forecast on aggregate level during black swan scenario

A method for automated sales forecast on an aggregate level during the black swan scenario, the method comprising:

• a method of gathering data, the method having
• a system processing unit executes computer-readable instructions to receive data related to particular economical sector and industry in which the target company, whose sales need to be forecasted, falls;
• further, the system processing unit executes computer-readable instructions to extract data related to a plurality of previous black swan event,
• further, the system processing unit executes computer-readable instructions to further compare previous black swan event with the present pandemic situation to identify the analogous event,
• after the analogous event is identified, the system processing unit executes computer-readable instructions to search for the analogous company whose sales get affected by the analogous event, and
• company data that directly and indirectly impact sales of the company is being extracted from company servers and are transferred to the system processing unit of the at least one computational unit;
• a method of analysing data and forecasting sales on an aggregate level, the method having by using data of analogous events and analogous company, the system processing unit executes computer-readable instructions and drives a statistical scale multiplier,
• the system processing unit executes computer-readable instructions and applies the statistical scale multiplier on the company data that directly and indirectly impact sales of the company, and
• the system processing unit thus generates the forecast sales of the company on an aggregate level.