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Frequency : 12 issues per year
Subject : Computer Applications and Technology
ISSN : 2319–8656 (Online)
Home Archives Volume 14 Issue 3 ijcatr14031005

IJCATR Volume 14 Issue 3

The Impact and Implementation of LED-Based Inventory Spotting Platform

Narendra Lakshmana Gowda
10.7753/IJCATR1403.1005
keywords : Ecommerce, Artificial Intelligence, Robotics, Image recognition, AR, Inventory management

PDF
Implementing a cost effective LED light system for inventory picking in retail stores can significantly enhance restocking efficiency. By motorizing an LED Light system to illuminate specific inventory items using a LED spotlight in the warehouse, associates can swiftly locate and pick items, reducing time and effort. This system eliminates the need for smartphones or apps, providing a straightforward visual cue for restocking needs and out-of-stock items. The LED-based inventory spotting system addresses the challenges of stock delays, customer dissatisfaction, and operational inefficiencies in inventory management. It offers a hands-free and clearer way to display pick suggestions, enhancing picking accuracy and efficiency. With its potential to minimize stocking delays and increase customer satisfaction, this system represents a significant advancement in retail inventory management practices.
@artical{n1432025ijcatr14031005,
Title = "The Impact and Implementation of LED-Based Inventory Spotting Platform ",
Journal ="International Journal of Computer Applications Technology and Research(IJCATR)",
Volume = "14",
Issue ="3",
Pages ="65 - 68",
Year = "2025",
Authors ="Narendra Lakshmana Gowda"}
  • Enhanced Restocking Efficiency – The LED-based inventory spotting platform significantly improves restocking speed and accuracy by using motorized LED spotlights to illuminate specific inventory items, reducing search time for employees.
  • Reduction in Operational Costs – By minimizing reliance on smartphones and barcode scanning, the system lowers equipment costs and reduces the need for extensive manual inventory checks, enhancing overall cost-effectiveness.
  • Optimized Inventory Accuracy – The integration of LED guidance with cameras ensures precise stock identification, reducing human errors in locating and replenishing products, leading to improved inventory management.
  • Improved Workforce Productivity – By automating the identification process, employees can focus on higher-value tasks, leading to increased productivity and a better in-store operational experience.
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