Year: 2025
Type: article
Abstract: Dynamic pricing is a strategy that allows businesses to adjust prices in real-time based on various factors such as demand, competitor pricing, customer behavior, and external market conditions. This journal explores the implementation of dynamic pricing using Google AI technologies, including Google Cloud AI Platform, BigQuery ML, Vertex AI, and TensorFlow. By integrating data from ERP applications like SAP, point-of-sale (POS) systems, and public datasets, businesses can optimize pricing strategies to maximize revenue and improve customer satisfaction. The paper details the key components of an AI-driven dynamic pricing model, the benefits of automation in pricing strategies, and the challenges of data integration and regulatory compliance. Through the effective use of AI and data analytics, businesses can achieve a competitive edge and enhance operational efficiency.
Author: Manas Srivastava
Institution: Google (United States)
Language: English
Subfield: Management Information Systems
Domain: Social Sciences
Open Access status: hybrid
OpenAlex ID: W4408846973