Srivastava, Manas (2025) Smart pricing, smarter profits: Leveraging SAP data & Google AI for dynamic pricing. World Journal of Advanced Research and Reviews, 25 (3). pp. 1574-1577. ISSN 2581-9615
![WJARR-2025-0884.pdf [thumbnail of WJARR-2025-0884.pdf]](https://eprint.scholarsrepository.com/style/images/fileicons/text.png)
WJARR-2025-0884.pdf - Published Version
Available under License Creative Commons Attribution Non-commercial Share Alike.
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.
Item Type: | Article |
---|---|
Official URL: | https://doi.org/10.30574/wjarr.2025.25.3.0884 |
Uncontrolled Keywords: | SAP; Artificial Intelligence; Google Cloud AI platform; Vertex AI; Public datasets; Pricing; Enterprise Resource & Planning; Retail; Consumer and packaged goods |
Depositing User: | Editor WJARR |
Date Deposited: | 22 Jul 2025 14:52 |
Related URLs: | |
URI: | https://eprint.scholarsrepository.com/id/eprint/1348 |