PREDICTING CONSUMER SPENDING TRENDS ACROSS RETAIL  AND MANUFACTURING DOMAINS WITH AI-AUGMENTED JAVA  SOLUTIONS

Naveen Kumar Vayyasi

PREDICTING CONSUMER SPENDING TRENDS ACROSS RETAIL AND MANUFACTURING DOMAINS WITH AI-AUGMENTED JAVA SOLUTIONS

Authors

Naveen Kumar Vayyasi

Keywords:

Consumer Spending Prediction, Retail Forecasting, Manufacturing Demand, Machine Learning, Java Enterprise Architecture, Time Series Analysis, Ensemble Methods

Abstract

Consumer spending represents a critical economic indicator directly impacting retail operationsand manufacturing production planning, yet accurate forecasting remains challenging due tovolatile market conditions, shifting consumer preferences, and complex cross-industry dynamics. This research investigates the development and deployment

References

Anderson, K. and Thompson, D. (2022) 'Machine learning approaches to demand forecasting in manufacturing: a comprehensive review', International Journal of Production Research, 61(8), pp. 2456-2489

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Published

2022-05-10

How to Cite

Naveen Kumar Vayyasi. (2022). PREDICTING CONSUMER SPENDING TRENDS ACROSS RETAIL AND MANUFACTURING DOMAINS WITH AI-AUGMENTED JAVA SOLUTIONS . Journal of Computational Analysis and Applications (JoCAAA), 30(2), 950–969. Retrieved from https://www.eudoxuspress.com/index.php/pub/article/view/4885