Dynamic Pricing for the crypto.ticket System – crypto.tickets

Crypto.tickets will support dynamic and differentiated pricing. It is a service based on artificial intelligence algorithms, segmentation, and historical data that can increase profits from ticket sales. The pricing model utilizes deep reinforcement learning algorithms when offering ticket prices to maximize event profitability taking into account current situation and sales dynamics. More specifically, the system uses deep reinforcement learning (Q-learning, where Q is a function of profit prediction from ticket sales, depending on the selected pricing strategy) adopted for continuous states and actions. The specific structure of the neural network or the learning specifics is a trade secret. The block diagram of the common usage of the pricing model is shown below.