Optimizing Food Utilization: A Smart Inventory Management and AI-Predictive Analytics in Reducing Food Waste

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ID: 310611
2024
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Abstract
Food waste remains a critical global challenge that contributes significantly to environmental degradation, economic loss, and resource wastage. This essay delves into the innovative integration of technology in the battle against food waste within households and restaurants. We propose a comprehensive solution leveraging innovative inventory management applications and artificial intelligence (AI) systems to tackle this pervasive issue [1]. The smart inventory apps aim to assist households and culinary establishments in tracking food expiration dates and managing groceries efficiently, while AI predictive analytics are employed to forecast restaurant demand, thereby optimizing food supply orders and reducing excess. This article underscores the potential of digital tools in fostering sustainable food consumption practices by exploring current food waste statistics, examining existing technological interventions, and providing a detailed proposal for our integrated tech-based solution. Furthermore, we discuss our approach's implementation framework, potential challenges, and future prospects, providing a holistic view of how technology can be a pivotal ally in minimizing food waste [2]. By aligning technological advancements with sustainable practices, this study illuminates a path toward reducing food waste’s environmental footprint, bolstering food security, and achieving economic efficiency.
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imported_1768936945_696fd5f11968d Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Kanika Guleria
Journal International Journal of Science and Social Science Research
Year 2024
DOI
10.5281/zenodo.14227540
URL
https://www.ijsssr.com/j/article/view/187
Keywords Keywords not found

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