Price Minds: AI-Driven Insights, Recommendations and Dynamic Pricing

Title

Price Minds: AI-Driven Insights, Recommendations and Dynamic Pricing

Creator

Ashok, Sakshi; Athulya, S.; Thomas, Jyothi

Description

This research aims to enhance e-commerce systems by leveraging customer behavior analysis, dynamic pricing, and personalized recommendations. With the increasing demand for tailored shopping experiences and competitive pricing, businesses require adaptive solutions. The study integrates synthetic and real-time customer data to identify purchasing patterns and segment customers effectively. Dynamic pricing strategies are applied to optimize revenue while maintaining customer satisfaction. A unified framework combines clustering techniques, real-time data streams, and decision-making models to deliver actionable insights for business operations. The proposed system dynamically adjusts pricing and recommends products based on individual customer preferences and behavior. The approach addresses the growing need for intelligent systems that adapt to market trends and consumer demands. Results demonstrate improved operational efficiency, better customer engagement, and enhanced profitability. This work highlights the importance of real-time analytics and intelligent pricing mechanisms in advancing e-commerce and creating competitive advantages in rapidly evolving markets. 2025 IEEE.

Source

2025 IEEE 2nd International Conference on Advances in Modern Age Technologies for Health and Engineering Science, AMATHE 2025 - Proceedings;

Date

01-01-2025

Publisher

Institute of Electrical and Electronics Engineers Inc.

Subject

Artificial Intelligence; Customer Segmentation; Dynamic Pricing; Recommendation Systems; Reinforcement Learning

Coverage

Ashok S., Christ University, Dept. of CSE, Bangalore, 560074, India; Athulya S., Christ University, Dept. of CSE, Bangalore, 560074, India; Thomas J., Christ University, Dept. of CSE, Bangalore, 560074, India

Rights

Restricted Access; Hardcopy may be available in the library

Relation

ISBN: 979-833150103-7;

Format

online

Language

English

Type

Conference paper

Identifier

https://doi.org/10.1109/AMATHE65477.2025.11080732

https://www.scopus.com/pages/publications/105012713891?origin=resultslist