DESIGNING THE SMART WAREHOUSE: KEY AUTOMATION CRITERIA FOR SUSTAINABLE AND SCALABLE OPERATIONS

Naveen Kukkala

doi:10.17261/Pressacademia.2025.2015

DESIGNING THE SMART WAREHOUSE: KEY AUTOMATION CRITERIA FOR SUSTAINABLE AND SCALABLE OPERATIONS

Abstract

Purpose- Warehouses face challenges due to rising demands for efficient, sustainable, large-scale operations, making automation essential for enhancing processes and reducing costs. This paper compares three automation models LSTM, Prophet, and Logistic Regression that can improve warehouse management, particularly in sales forecasting and reorder prediction. Methodology- Using actual warehouse sales data from Kaggle, time-series models (LSTM and Prophet) were built for daily sales forecasting and Logistic Regression for reorder quantities on each item. The models evaluated each model's ability to project warehouse sales and determine replenishment timing. Findings- Results suggest that LSTM provided better forecasting results than Prophet, with lower MSE, RMSE, and MAE values, modelling both short-term volatility and long-term trends. Logistic Regression showed high accuracy and decent precision, though low recall suggests it missed many reorder cases. Conclusion- While LSTM models can improve decision-making in warehouse management, further development of classification models is essential to enhance reorder prediction accuracy, increase recall, and prevent stockouts.

Keywords

References

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Details

Primary Language

English

Subjects

Business Administration

Journal Section

Research Article

Authors

Naveen Kukkala
0009-0000-3346-3405
United States

Publication Date

December 31, 2025

Submission Date

March 19, 2025

Acceptance Date

October 11, 2025

Published in Issue

Year 2025 Volume: 12 Number: 2

DOI

https://doi.org/10.17261/Pressacademia.2025.2015

IZ

https://izlik.org/JA95UM49LW

Cite

RIS / Bibtex

APA

Kukkala, N. (2025). DESIGNING THE SMART WAREHOUSE: KEY AUTOMATION CRITERIA FOR SUSTAINABLE AND SCALABLE OPERATIONS. Journal of Management Marketing and Logistics, 12(2), 47-56. https://doi.org/10.17261/Pressacademia.2025.2015

AMA

1.Kukkala N. DESIGNING THE SMART WAREHOUSE: KEY AUTOMATION CRITERIA FOR SUSTAINABLE AND SCALABLE OPERATIONS. JMML. 2025;12(2):47-56. doi:10.17261/Pressacademia.2025.2015

Chicago

Kukkala, Naveen. 2025. “DESIGNING THE SMART WAREHOUSE: KEY AUTOMATION CRITERIA FOR SUSTAINABLE AND SCALABLE OPERATIONS”. Journal of Management Marketing and Logistics 12 (2): 47-56. https://doi.org/10.17261/Pressacademia.2025.2015.

EndNote

Kukkala N (December 1, 2025) DESIGNING THE SMART WAREHOUSE: KEY AUTOMATION CRITERIA FOR SUSTAINABLE AND SCALABLE OPERATIONS. Journal of Management Marketing and Logistics 12 2 47–56.

IEEE

[1]N. Kukkala, “DESIGNING THE SMART WAREHOUSE: KEY AUTOMATION CRITERIA FOR SUSTAINABLE AND SCALABLE OPERATIONS”, JMML, vol. 12, no. 2, pp. 47–56, Dec. 2025, doi: 10.17261/Pressacademia.2025.2015.

ISNAD

Kukkala, Naveen. “DESIGNING THE SMART WAREHOUSE: KEY AUTOMATION CRITERIA FOR SUSTAINABLE AND SCALABLE OPERATIONS”. Journal of Management Marketing and Logistics 12/2 (December 1, 2025): 47-56. https://doi.org/10.17261/Pressacademia.2025.2015.

JAMA

1.Kukkala N. DESIGNING THE SMART WAREHOUSE: KEY AUTOMATION CRITERIA FOR SUSTAINABLE AND SCALABLE OPERATIONS. JMML. 2025;12:47–56.

MLA

Kukkala, Naveen. “DESIGNING THE SMART WAREHOUSE: KEY AUTOMATION CRITERIA FOR SUSTAINABLE AND SCALABLE OPERATIONS”. Journal of Management Marketing and Logistics, vol. 12, no. 2, Dec. 2025, pp. 47-56, doi:10.17261/Pressacademia.2025.2015.

Vancouver

1.Naveen Kukkala. DESIGNING THE SMART WAREHOUSE: KEY AUTOMATION CRITERIA FOR SUSTAINABLE AND SCALABLE OPERATIONS. JMML. 2025 Dec. 1;12(2):47-56. doi:10.17261/Pressacademia.2025.2015