Automated Inventory Tracking and Alert System
Volume-6 | Issue-4

Automated Water Level Monitoring System using Arduino and GSM Module
Volume-5 | Issue-1

Smart Waste Segregation System using Convolutional Neural Networks
Volume-4 | Issue-2

Autonomous Vehicle: Challenges and Implementation
Volume-4 | Issue-2

Dehydration of Food Materials using Solar Dryer with Mobile App Integration
Volume-6 | Issue-1

Agro Guard Edge AI - Development of Sustainable IoT Framework for Wildlife Intrusion Detection
Volume-6 | Issue-4

Design and Implementation of Closed loop control for Flyback Converter
Volume-5 | Issue-2

Development and Evaluation of Control System in Mechatronics – A Systematic Survey
Volume-4 | Issue-2

Load Flow Study of GCT Powerhouse using ETAP
Volume-5 | Issue-1

Identification of Single Phase to Ground Faults in Power Distribution Systems with RG Technique
Volume-4 | Issue-1

Power Transfer Capability Recognition in Deregulated System under Line Outage Condition Using Power World Simulator
Volume-3 | Issue-4

Transformer Oil Diagnostic Tests Analysis using Statistical Correlation Technique
Volume-4 | Issue-3

Design of Inverter Voltage Mode Controller by Backstepping Technique for Nonlinear Power System Model
Volume-3 | Issue-4

Automated Multimodal Fusion Technique for the Classification of Human Brain on Alzheimer’s Disorder
Volume-3 | Issue-3

Performance Analysis of Multiple Pico Hydro Power Generation
Volume-2 | Issue-2

Energy Efficient Data Mining Approach for Estimating the Diabetes
Volume-3 | Issue-2

Wireless Power Transfer Device Based on RF Energy Circuit and Transformer Coupling Procedure
Volume-3 | Issue-3

Prediction of Energy Consumption by Ships at the port using Deep Learning
Volume-3 | Issue-2

A Novel Adaptive Fuzzy MPPT Algorithm under Changing Atmospheric Conditions
Volume-3 | Issue-4

Unmanned Aerial Vehicle with Thermal Imaging for Automating Water Status in Vineyard
Volume-3 | Issue-2

Home / Archives / Volume-6 / Issue-4 / Article-3

Volume - 6 | Issue - 4 | december 2024

Automated Inventory Tracking and Alert System Open Access
Parthiban R.  , Bincy S., Ilamathi D., Deva Priya T.  1557
Pages: 300-314
Full Article PDF pdf-white-icon
Cite this article
R., Parthiban, Bincy S., Ilamathi D., and Deva Priya T.. "Automated Inventory Tracking and Alert System." Journal of Electrical Engineering and Automation 6, no. 4 (2024): 300-314
Published
29 January, 2025
Abstract

The research is on inventory management systems, focusing on IoT-based solutions, RFID technology, and machine learning applications. The study examines various systems, including automated inventory tracking, real-time monitoring, and predictive analytics for demand forecasting. The survey highlights the benefits of these systems, such as improved inventory accuracy, reduced stockouts, and enhanced customer satisfaction. However, it also discusses challenges and limitations, including dependency on network connectivity, initial setup costs, and data accuracy concerns. This survey provides a comprehensive overview of the current state of inventory management systems, identifying opportunities for future research and development.

Keywords

IoT Cloud Infrastructure Machine Learning Streaming Network Deep Learning

×

Currently, subscription is the only source of revenue. The subscription resource covers the operating expenses such as web presence, online version, pre-press preparations, and staff wages.

To access the full PDF, please complete the payment process.

Subscription Details

Category Fee
Article Access Charge
15 USD
Open Access Fee Nil
Annual Subscription Fee
200 USD
After payment,
please send an email to irojournals.contact@gmail.com / journals@iroglobal.com requesting article access.
Subscription form: click here