AI-Powered Trend Analysis for Retail

Authors

  • Dr. Daniel Vega Professor of Industrial Engineering, Pontificia Universidad Católica de Chile (PUC Chile) Author

Keywords:

Trend Analysis, Retail

Abstract

AI integration has caught great attention as an extended approach according to the requirements of big data analytics, clear objectives, and an overall reassured model for retail. AI can be utilized for trend analysis, which is helpful for understanding all the transactions throughout the process and supporting the decision-making process by learning from data, so that business units can understand trends and optimize operations for improving management. Moreover, AI can also be applied to produce trend analysis results in order to reduce the costs of consumables while creating a consistent and unified overall system without diverging analyses. Therefore, the ability of AI to perceive business trends accurately and efficiently is playing an increasingly critical role.

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Published

02-12-2023

How to Cite

[1]
D. D. Vega, “AI-Powered Trend Analysis for Retail”, J. of Artificial Int. Research and App., vol. 3, no. 2, pp. 709–728, Dec. 2023, Accessed: Nov. 13, 2024. [Online]. Available: https://aimlstudies.co.uk/index.php/jaira/article/view/278

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