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

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

• a method of generating an artificial intelligence model, the method having
• a list of features is being generated that influence the sales forecast on the deal level,
• the data related to a list of features is being gathered from a company server;
• further data are processed and transformed into an appropriate form through feature engineering,
• based on the requirement of sales forecast on the deal level the artificial intelligence-based model is being selected after the feature engineering has processed the data related to a list of features,
• the artificial intelligence-based model is trained by the feeding data that is being processed by feature engineering,
• further, the artificial intelligence-based model is optimized with the help of hyper parameter values, to achieve the artificial intelligence-based model's best performance,
• a method of analyzing data and forecasting sales on the deal level, the method having
• the artificial intelligence-based model uses previous data and generates probability scores on a deal level thus providing the probability of winning a sale deal within a specified time period,
• a tree-based artificial intelligence-based model uses previous data and forecast close date postponement of a sale deal,
• further, the tree-based artificial intelligence-based model forecast amount on which sale deal would close, and
• thus based on the above forecast, overall sales on the deal level is being forecasted;
• wherein, multiple artificial intelligence-based models are trained to forecast different parameters of sales on the deal level;