Abstract: The present system and methods generally relate to managing stock of unforecastable supply items and various goods sold by a retailer and/or wholesaler. The present system and methods can employ various techniques to integrate with retailers computing infrastructure and receive data to determine unforecastable supply items of the retailers and/or wholesalers. Using novel techniques, the present system and methods can employ machine learning techniques to predict minimum and maximum stocking requirements for goods sold by the retailers and/or the wholesalers. The present system methods can employ other machine learning model to generate reports, data analyses, predictions, and recommendations associated with the goods sold by the retailer and/or wholesaler. The present system and methods can produce stocking outcomes based on the analyses performed.