AI-Powered Solutions for Reducing Waste in American Retail Logistics

Authors

  • Dr. Marie Dubois Professor of Mathematics and Computer Science, Université catholique de Louvain, Belgium Author

Abstract

These profound and eye-opening insights serve as a clear indication of the intricate and multifaceted nature of waste management within the retail sector. With a multitude of diverse sources contributing to the generation of waste, it becomes increasingly pivotal to delve deeper into the realm of AI-powered solutions in order to effectively tackle and minimize waste in the logistics of American retail. By embracing innovative technologies and advanced algorithms, we can pave the way for a more sustainable and efficient future, while simultaneously reducing waste and its detrimental impact on our environment. Through continued exploration and implementation of these groundbreaking solutions, we can bring about a transformative and revolutionary shift in waste reduction practices within the American retail industry. [1]

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References

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Published

03-11-2023

How to Cite

[1]
D. M. Dubois, “AI-Powered Solutions for Reducing Waste in American Retail Logistics”, Australian Journal of Machine Learning Research & Applications, vol. 3, no. 2, pp. 537–547, Nov. 2023, Accessed: Nov. 14, 2024. [Online]. Available: https://sydneyacademics.com/index.php/ajmlra/article/view/179