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Icdi 2025 Dtisea Abstract

The document outlines the design and implementation of an IoT-based Warehouse Monitoring System (WMSUI) aimed at improving operational efficiency in logistics for Blinkit, an instant commerce platform. The system utilizes distributed sensor nodes for real-time monitoring of environmental parameters and features an asset localization module to enhance inventory management. Testing in a live warehouse environment showed reliable performance, making the system a scalable and cost-effective solution for modern warehouse operations.

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16 views2 pages

Icdi 2025 Dtisea Abstract

The document outlines the design and implementation of an IoT-based Warehouse Monitoring System (WMSUI) aimed at improving operational efficiency in logistics for Blinkit, an instant commerce platform. The system utilizes distributed sensor nodes for real-time monitoring of environmental parameters and features an asset localization module to enhance inventory management. Testing in a live warehouse environment showed reliable performance, making the system a scalable and cost-effective solution for modern warehouse operations.

Uploaded by

sanjj8112003
Copyright
© © All Rights Reserved
We take content rights seriously. If you suspect this is your content, claim it here.
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Digital Innovation & Transformation in South-East Asia

SMART WAREHOUSE MANAGEMENT SYSTEM

Author A, Sanjana N Shet, JSS Science and Technology University, Mysuru, India
Author B, Sukitha A S, JSS Science and Technology University, Mysuru, India
Author C, Sougandhika M, JSS Science and Technology University, Mysuru, India
Author D, Yashwanth M K, JSS Science and Technology University, Mysuru, India
Author E, Dr. Skanda M G M Tech, PhD, AMIE Assistant Professor, JSS Science and
Technology University, Mysuru, India

sanjj8112003@gmail.com
sukithaas@gmail.com
sougandhikadev@gmail.com
suryak2001@gmail.com
skanda.rao@sjce.ac.in

Abstract:
In the evolving landscape of modern logistics, effective warehouse management is critical to
achieving operational efficiency, reducing costs, and ensuring timely delivery. This project
presents the design and implementation of an IoT-based Warehouse Monitoring System
(WMSUI), developed as a case study for Blinkit, a fast-paced instant commerce platform.
The system aims to improve inventory control, optimize storage systems, and support
logistics coordination through real-time monitoring and automation.

The proposed solution consists of distributed sensor nodes that monitor key environmental
parameters such as temperature and humidity, which are vital for the preservation of both
perishable and non-perishable goods. These sensor nodes communicate wirelessly with a
centralized Master Node, which aggregates data and relays it to a web-based dashboard
accessible to warehouse managers. This interface provides real-time insights, alerts, and
historical data trends, enabling proactive intervention and better warehouse decision-making.

In addition to environmental monitoring, the system features an asset localization module


using buzzer-enabled nodes. When activated, these buzzers help warehouse staff quickly
locate specific inventory items, significantly reducing search times and improving accuracy.
This feature directly supports warehouse automation and enhances operational throughput,
especially in large or densely packed storage areas.

The system was deployed and tested in a live Blinkit warehouse environment. Results
demonstrated reliable performance in continuous data transmission, low-latency alerting, and
efficient asset retrieval. The use of cost-effective microcontrollers, LoRa/Wi-Fi
communication, and open-source platforms makes the system scalable and financially viable
for broad adoption.

By integrating IoT technologies into the warehouse infrastructure, the WMSUI system
contributes to supply chain optimization through enhanced visibility, faster response times,
and reduced manual intervention. This approach offers a practical model for organizations
aiming to digitize their warehouse operations and transition toward smarter, more efficient
warehouse management systems.

Keywords: IoT-based monitoring, warehouse automation, inventory control, supply chain


optimization, logistics coordination

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