Over the last decades, dynamic pricing has become increasingly popular. To solve pricing problems, however, is particularly challenging if the customers' and competitors' behavior are both strategic and unknown. Reinforcement Learning (RL) methods are promising for solving such dynamic problems...

Cinema operators have so far behaved more conservatively in terms of their price management. In the course of the digital transformation, there are many opportunities for price innovations. The implementation of yield management strategies in the cinema industry would have a positive impact on...

Much like small ripples in a stream, which get lost in the larger waves, small changes in retail prices often fly under the radar of public perceptions, while large price changes appear as marketing moves associated with demand and competition. Unnoticed, these could increase consumers’...

Dynamic pricing strategy is a well-known method for utility pricing used in many parts of the world and is rapidly growing in trend due to its ability to adjust utility pricing to the utmost real-time calculations. One such method is what we call Time-of-Use (TOU), a strategy that adjusted...

Effective pricing strategies are critical for optimizing revenue and maintaining competitiveness in transportation supply chains, particularly in multi-channel environments. This paper presents a machine learning-driven dynamic pricing approach designed to optimize ticket prices across multiple...