Smart pricing, smarter profits: Leveraging SAP data & Google AI for dynamic pricing

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.

Authors

Publication Details

Journal
World Journal of Advanced Research and Reviews
Published
2025-03-26
DOI
https://doi.org/10.30574/wjarr.2025.25.3.0884
Primary Topic
Blockchain Technology Applications and Security
Type
article
Field-Weighted Citation Impact
0.00
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article

Smart pricing, smarter profits: Leveraging SAP data & Google AI for dynamic pricing

Manas Srivastava
World Journal of Advanced Research and Reviews
Blockchain Technology Applications and Security
article

Smart pricing, smarter profits: Leveraging SAP data & Google AI for dynamic pricing

Manas Srivastava
article en

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.

World Journal of Advanced Research and ReviewsVol. 25(3)
Openalex Percentile: Top 93%
Blockchain Technology Applications and Security
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