Intelligent Decision-Making in Warehouse Management: How AI Automation Improves Inventory Tracking, Order Fulfillment, and Logistics Efficiency Compared to Drone Technology

Nishar, Somil (2024) Intelligent Decision-Making in Warehouse Management: How AI Automation Improves Inventory Tracking, Order Fulfillment, and Logistics Efficiency Compared to Drone Technology. Intelligent Control and Automation, 15 (01). pp. 1-8. ISSN 2153-0653

[thumbnail of ica_2024013114420405.pdf] Text
ica_2024013114420405.pdf - Published Version

Download (1MB)

Abstract

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—inventory tracking, order fulfillment, and logistics efficiency. Our findings indicate AI automation enables real-time inventory visibility, optimized picking routes, and dynamic delivery scheduling, which drones cannot match. AI better leverages data insights for intelligent decision-making across warehouse operations, supporting improved productivity and lower operating costs.

Item Type: Article
Subjects: Open Research Librarians > Multidisciplinary
Depositing User: Unnamed user with email support@open.researchlibrarians.com
Date Deposited: 03 Feb 2024 11:50
Last Modified: 03 Feb 2024 11:50
URI: http://stm.e4journal.com/id/eprint/2466

Actions (login required)

View Item
View Item