%0 Journal Article
%T Intelligent Decision-Making in Warehouse Management: How AI Automation Improves Inventory Tracking, Order Fulfillment, and Logistics Efficiency Compared to Drone Technology
%A Somil Nishar
%J Intelligent Control and Automation
%P 1-8
%@ 2153-0661
%D 2024
%I Scientific Research Publishing
%R 10.4236/ica.2024.151001
%X This paper analyzes how
artificial intelligence (AI) automation can improve warehouse management
compared to emerging technologies like drone usage. Specifically, we evaluate
AI¡¯s impact on crucial warehouse functions¡ªinventory tracking, order
fulfillment, and logistics efficiency. Our findings indicate AI automation
enables real-time inventory visibility, optimized picking<span><span style=\"font-family:;\" \"=\"\"> routes, and dynamic delivery
scheduling, which drones cannot match. AI better leverages data insights for
intelligent decision-</span></span><span><span style=\"font-family:;\" \"=\"\">making across warehouse </span></span><span><span style=\"font-family:;\" \"=\"\">operations, supporting improved productivity and
lower operating costs.</span></span>
%K Warehouse Management
%K Artificial Intelligence
%K Automation
%K Inventory Management
%K Order Fulfillment
%U http://www.scirp.org/journal/PaperInformation.aspx?PaperID=131012