Abstract: A dynamic group buying system that utilizes a neural network-based machine learning system to generate an optimized price campaign for a product or a product bundle while considering human product seller set bounds consisting of a variable combination of reserve quantity of product, minimum sales price and list price, duration of the campaign, number of levels and maximum price. As an extension of the machine learning capabilities, the system includes a recommendation system that aids the seller to make informed, decisions on factors such as what product(s) bundle should be added to the campaign, what is the ideal time and duration of the campaign, for example. The system is designed to optimize the campaign creation capabilities by analyzing the past product campaigns.