International Journal For Multidisciplinary Research

E-ISSN: 2582-2160   •   Impact Factor: 9.24

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

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AI-Enabled Preservation Technology within Supply Chain Models

Author(s) Ankit kumari, Dr. Menaka
Country India
Abstract The integration of artificial intelligence (AI) methods into conservation technologies in supply chain frameworks. Preservation technologies are employed to uphold product quality, prolong shelf life, and minimize waste, particularly in sectors handling perishable items like food, pharmaceuticals, and agricultural goods. Conventional preservation techniques, though successful, frequently fall short in flexibility and efficiency within changing supply chain settings. Preservation technology is the key component of an inventory cycle for degradation. Thanks to its use, the quality and quantity of the products can be maintained, meaning that deterioration cannot initiate earlier, and if it does begin, it reduces. An intelligent production system incorporates energy expenses and various elements, including selling price, eco-friendliness, marketing, and others. Inventory management is the crucial phase of production oversight. Products consist of raw materials, tools, labor, finished items, packaged goods, and general supplies. Examining inventory issues of goods with storage techniques and needs is quite engaging for straightforward inventory management. This study seeks to introduce an additional aspect to the modeling of inventory management storage technologies under varying demand rates and transportation expenses. This approach seeks to create and outline product models for non-standard items catering to diverse needs and various actual combinations.”
Keywords Artificial Intelligence, Preservation Technology, Deterioration, Stock, Inventory Management, Production System, Optimal Quantity.
Field Mathematics
Published In Volume 8, Issue 1, January-February 2026
Published On 2026-02-27
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E-ISSN 2582-2160
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