An RFID-Based Smart Inventory Management System for Small-Scale Industries Using ESP32, Google Sheets, and App Sheet

ABSTARCT : Accurate and timely stock control is one of the more persistent operational problems in small-scale manufacturing and distribution. Most small warehouses cannot justify the cost of enterprise inventory platforms, yet manual and barcode-based alternatives introduce systematic errors that distort purchasing and replenishment decisions. This work describes an RFID-based inventory management system built around an ESP32 microcontroller, an MFRC522 passive RFID reader, Google Apps Script as a cloud middleware layer, Google Sheets as a zero-cost database, and AppSheet for mobile dashboard access. A closed-loop tag reuse model is central to the design: rather than treating RFID tags as disposable, tags are returned with each delivery and reassigned in software, keeping ongoing hardware costs near zero. The system couples live RFID scan data with classical inventory methods—Economic Order Quantity, Reorder Level, Safety Stock, and ABC Analysis—so that replenishment decisions are driven by actual consumption rather than estimates. A three-month moving average provides a practical demand forecast for dynamic reorder-point computation. Testing confirmed end-to-end latency of 2–3 seconds from tag detection to dashboard update, 100% identification accuracy within the effective read range, and complete elimination of the duplicate-decrement problem through firmware-level debouncing. Total hardware cost is approximately USD 15–20, with no software licensing fees.

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Publication Details

Journal
International Journal of Novel Research and Development
Published
2026-05-01
DOI
https://doi.org/10.56975/ijnrd.v11i5.324447
Primary Topic
RFID technology advancements
Type
article
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article

An RFID-Based Smart Inventory Management System for Small-Scale Industries Using ESP32, Google Sheets, and App Sheet

J. Praveena, G. Keerthana Sri, A. Sai Samhitha
International Journal of Novel Research and Development
RFID technology advancements
article

An RFID-Based Smart Inventory Management System for Small-Scale Industries Using ESP32, Google Sheets, and App Sheet

J. Praveena, G. Keerthana Sri, A. Sai Samhitha
article en

Abstract

ABSTARCT : Accurate and timely stock control is one of the more persistent operational problems in small-scale manufacturing and distribution. Most small warehouses cannot justify the cost of enterprise inventory platforms, yet manual and barcode-based alternatives introduce systematic errors that distort purchasing and replenishment decisions. This work describes an RFID-based inventory management system built around an ESP32 microcontroller, an MFRC522 passive RFID reader, Google Apps Script as a cloud middleware layer, Google Sheets as a zero-cost database, and AppSheet for mobile dashboard access. A closed-loop tag reuse model is central to the design: rather than treating RFID tags as disposable, tags are returned with each delivery and reassigned in software, keeping ongoing hardware costs near zero. The system couples live RFID scan data with classical inventory methods—Economic Order Quantity, Reorder Level, Safety Stock, and ABC Analysis—so that replenishment decisions are driven by actual consumption rather than estimates. A three-month moving average provides a practical demand forecast for dynamic reorder-point computation. Testing confirmed end-to-end latency of 2–3 seconds from tag detection to dashboard update, 100% identification accuracy within the effective read range, and complete elimination of the duplicate-decrement problem through firmware-level debouncing. Total hardware cost is approximately USD 15–20, with no software licensing fees.

International Journal of Novel Research and DevelopmentVol. 11(5)
Al-Zahra College for Women (OM)
Industry, innovation and infrastructure
Openalex Percentile: Top 6%
RFID technology advancements
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An RFID-Based Smart Inventory Management System for Small-Scale Industries Using ESP32, Google Sheets, and App Sheet — J. Praveena, G. Keerthana Sri, et al. · International Journal of Novel Research and Development (2026) | TGRS Research Map | TGRS