Published Paper Details:

Dynamic pricing is a modern pricing strategy where businesses adjust their prices in real-time based on various factors such as demand, competition, time of day, and customer behaviour. Through the use of predictive models, businesses can predict customer behaviour and market conditions, adjusting prices accordingly to maximize revenue. Deep learning models, particularly neural networks, help identify complex patterns in data, allowing businesses to adjust pricing strategies and adapt to rapidly changing market environments. This approach not only enhances profitability but also provides a personalized experience for customers by offering prices that reflect their preferences and willingness to pay. Dynamic pricing adjusts prices based on factors like demand and availability. It is used by ride sharing applications, online stores, airlines, hotels, food delivery services, and event ticket platforms. These businesses use technology to set the best price in real-time, staying competitive and meeting customer needs.