Reinforcement Learning - Dynamic Pricing

PROJECT AIMS:
The Aim of this project is to develop a reinforcement model for dynamic pricing based
on the real time data. Dynamic pricing is considered a possibility to gain an advantage over
competitors in modern online markets. The past advancements in Reinforcement Learning
provided more capable algorithms that can be used to solve pricing problems.[1]
The goal of this project is to apply deep reinforcement learning method to automatically
alter the price decisions based on various situations like demand, past data, customer
behavior in order to optimize profits for a certain company.
PROJECT OBJECTIVES:
The main Objective of the project Dynamic pricing using deep reinforcement learning is
to develop a dynamic pricing algorithm that optimizes pricing decisions in real-time to
increase revenue of the company and also maintaining the customer satisfaction.
The following are the other objectives of the project:
✓ Developing a deep reinforcement learning algorithm for dynamic pricing
✓ Increasing company’s profits & Enhancing customer satisfaction
✓ Training and testing the model
✓ Performance Analysis