Deep Learning-Based Demand Intelligence for Dynamic Merchandise Planning and  Allocation

Rajesh Reddy Ellenki

Deep Learning-Based Demand Intelligence for Dynamic Merchandise Planning and Allocation

Authors

Rajesh Reddy Ellenki

Keywords:

Demand Intelligence, Dynamic Merchandise Planning, Demand Sensing, Demand Forecasting, Inventory Intelligence, Assortment Intelligence, Deep Learning, Dynamic Allocation, Customer Sentiment Analysis, Supply Chain Optimization.

Abstract

—Dynamic merchandise planning and allocationdemand continually updated, precise, understandable andactionable signals about future customer demand. DemandIntelligence—the ingredient that enables such signals—is the synthesis of data-driven Demand Sensing, planning-horizon

References

[1] Bandi, V. D. V. K. (2023, November). Production-Grade Machine Learning Pipelines For Healthcare Predictive Analytics. South Eastern European Journal of Public Health, 189–205.

[2] Ahmadov, Y., & Helo, P. (2023). Deep learning-based approach for forecasting intermittent online sales. Discover Artificial Intelligence, 3, Article 45.

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Published

2024-09-25

How to Cite

Rajesh Reddy Ellenki. (2024). Deep Learning-Based Demand Intelligence for Dynamic Merchandise Planning and Allocation. Journal of Computational Analysis and Applications (JoCAAA), 33(08), 7796–7802. Retrieved from https://www.eudoxuspress.com/index.php/pub/article/view/5832