Running out of supplies slows things down everywhere - factories, shops, hospitals, labs, warehouses. Most places still track what they have by hand. Writing it down takes time. Mistakes happen more than people admit. Updates lag behind real usage. This setup cannot keep up anymore. A small smart storage unit might change that. It runs on a tiny computer brain connected to detectors inside. Light beams notice when something moves in or out. Scales check how much remains at all times. Data travels wirelessly to a phone application automatically. People barely need to touch the process once it works right. Fewer errors show up next morning. When something gets put into or taken out of the storage box, these parts notice right away, updating the count without delay. You can check the logged details on a screen nearby - also pulling them from afar using internet-linked systems. Less need for hand-written logs means fewer errors in stock numbers, giving clearer insight into how supplies are actually used. Because the setup works in pieces, it fits places like offices keeping tabs on supplies, labs managing tools, even compact warehouses sorting goods. What results is a straightforward way to handle inventory more consistently across common settings.
Introduction
Effective inventory tracking is essential in small-scale environments such as laboratories, offices, classrooms, and small retail spaces, yet many still rely on manual methods like paper records or spreadsheets, which are error-prone and lack real-time visibility. Existing automated inventory solutions are often designed for large warehouses, making them costly, complex, and unsuitable for compact or resource-limited settings.
This project addresses that gap by proposing a low-cost, sensor-based, app-connected smart inventory box designed specifically for small-scale use. The system automates inventory tracking using infrared sensors (and load sensing concepts discussed in the scope) to detect item removal, a microcontroller (Arduino Mega / NodeMCU ESP8266) to process data, and wireless IoT communication to update a mobile application in real time. Inventory levels are displayed both locally on an LCD screen and remotely via the Blynk mobile app, with automatic alerts triggered when stock falls below predefined thresholds.
The objectives focus on reducing manual effort, minimizing errors, improving accuracy, and enabling real-time monitoring through a simple, compact design. Unlike RFID-heavy or cloud-complex systems, this solution emphasizes ease of deployment, affordability, and reliability in constrained spaces. The literature review highlights that while IoT-based inventory systems improve accuracy and efficiency, few solutions integrate multiple sensors and mobile apps in a simple, low-cost form suitable for small environments.
Methodologically, the system combines sensor input processing, debouncing logic to avoid false counts, wireless data transmission, and alert mechanisms. Testing and simulation results confirm accurate item detection, real-time synchronization with the mobile app, and reliable low-stock notifications without duplication.
Conclusion
A small automated storage unit runs on a smart controller, making inventory tasks easier without constant supervision. Infrared detectors track when items come or go, signalling changes instantly. Movement triggers a belt system powered by a DC motor, moving goods smoothly within the box. Safety during electrical switching comes from relay components built into the circuitry. Information appears clearly on a compact screen that shows updates as they happen. A Wi-Fi chip based on ESP8266 technology links everything wirelessly, sending data outward. Users see current levels through a phone app designed for continuous tracking.
Tracking items nonstop while refreshing stock numbers on its own cuts down on people needing to step in, also lowering mistakes made by hand-written logs. Because updates happen right away, plus warnings pop up instantly, choices get sharper and refills arrive when needed. Warehouses lean into this setup, just like robotic shelves, snack boxes that sell themselves, or any spot running tight on supply oversight. Another benefit lies in its use of affordable parts alongside freely available software, allowing adjustments whether for minor setups or extensive production environments. Built-in automation features combined with networked sensors enable the App-Based Automated Inventory Box to reduce mistakes, simplify daily tasks, while offering clearer tracking - turning it into a working answer for today’s connected stock control needs.
References
[1] S. Jayanth, M. B. Poorvi, and M. P. Sunil, “Inventory management system using IoT,” in Proc. Int. Conf. Computational Intelligence and Informatics, Springer, 2017, pp. 203–212, doi: 10.1007/978-981-10-2471-9_20.
[2] F. U. Ugbebor, M. Adeteye, and J. Ugbebor, “Automated inventory management systems with IoT integration,” J. Artificial Intelligence General Science, vol. 6, no. 1, pp. 1–12, 2024, doi: 10.60087/jaigs.v6i1.257.
[3] R. Bose, H. Mondal, I. Sarkar, and S. Roy, “Design of smart inventory management system based on IoT,” e-Prime – Advances in Electrical Engineering, Electronics and Energy, 2022, doi: 10.1016/j.prime.2022.100051.
[4] O. A. Madamidola, O. Daramola, and A. A. Akinwonmi, “Framework for an IoT-enabled intelligent inventory management system,” Int. J. Advances in Engineering and Management, vol. 6, no. 10, pp. 234–243, 2024, doi: 10.35629/5252-0610-234243.
[5] A. Salsabila and L. Anifah, “IoT-based RFID system for automated inventory management,” Indonesian J. Electrical and Electronics Engineering, vol. 8, no. 2, pp. 76–83, 2025, doi: 10.26740/inajeee.v8n2.p76-83.
[6] S. V. Aluguri et al., “RFID based inventory management system,” Int. J. Research in Applied Science and Engineering Technology, vol. 11, no. 4, pp. 512–517, 2023, doi: 10.22214/ijraset.2023.56210.
[7] C. H. Anusha et al., “RFID based inventory management system,” Int. J. Engineering Applied Sciences and Technology, vol. 8, no. 5, pp. 98–102, 2023, doi: 10.33564/IJEAST.2023.v08i05.018.
[8] W. C. Tan, “RFID and IoT integration in supply chain management: A review,” Computers & Industrial Engineering, vol. 167, 2022, doi: 10.1016/j.cie.2021.108075.
[9] S. Rezwan et al., “IoT-based smart inventory system using load sensors and NodeMCU,” in Proc. IEEE ICACCAF, 2018, pp. 1–6, doi: 10.1109/ICACCAF.2018.8776761.
[10] A. Alwadi et al., “Smart solutions for RFID-based inventory management systems: A survey,” Scalable Computing: Practice and Experience, vol. 18, no. 4, pp. 339–349, 2017, doi: 10.12694/scpe.v18i4.1333.
[11] J. J. A. Basa et al., “Smart inventory system using wireless sensor network,” Int. J. Emerging Technology and Engineering Research, vol. 7, no. 10, pp. 45–51, 2019, doi: 10.30534/ijeter/2019/057102019.
[12] E. S. Choi et al., “Implementation of IoT-based automatic inventory management system,” Int. J. Advanced Culture Technology, vol. 5, no. 1, pp. 70–76, 2017, doi: 10.17703/IJACT.2017.5.1.70.
[13] M. N. Mansor et al., “Arduino-based inventory monitoring system using load cell and NodeMCU,” J. Advanced Research in Applied Sciences and Engineering Technology, vol. 32, no. 3, pp. 12–25, 2023, doi: 10.37934/araset.32.3.1225.
[14] B. S. S. Tejesh and S. Neeraja, “Warehouse inventory management system using IoT,” Engineering Applications of Artificial Intelligence, vol. 76, pp. 13–23, 2018, doi: 10.1016/j.engappai.2018.06.009.
[15] M. Chen, Y. Cheng, and C. Siang, “Inventory management using RFID and sensor technologies,” Sensors and Materials, vol. 34, no. 4, pp. 1231–1242, 2022, doi: 10.18494/SAM.2022.3632.
[16] Singh and R. Verma, “Smart warehouse management using IoT sensors,” Int. J. Intelligent Systems and Applications in Engineering, vol. 7, no. 4, pp. 145–151, 2019, doi: 10.18201/ijisae.2019452783.
[17] S. Raut et al., “IoT-based inventory monitoring system with mobile application,” Int. J. Engineering Research and Technology, vol. 9, no. 6, pp. 224–229, 2020, doi: 10.17577/IJERTV9IS060168.
[18] A. Kumar and P. Singh, “Real-time inventory tracking using IoT and cloud computing,” Int. J. Scientific and Technology Research, vol. 9, no. 3, pp. 5698–5703, 2020.
[19] R. Patel et al., “Smart inventory system using infrared and weight sensors,” Int. J. Innovative Technology and Exploring Engineering, vol. 8, no. 11, pp. 1785–1789, 2019, doi: 10.35940/ijitee.K2269.0981119.
[20] N. Kumar et al., “IoT-based smart inventory management using ESP8266,” Int. J. Electrical and Computer Engineering, vol. 10, no. 4, pp. 3982–3990, 2020, doi: 10.11591/ijece.v10i4.pp3982-3990.
[21] A. Verma and S. Gupta, “Cloud-connected inventory monitoring system,” Procedia Computer Science, vol. 171, pp. 1456–1465, 2020, doi: 10.1016/j.procs.2020.04.156
[22] P. R. Nair et al., “IoT-based smart box for inventory control,” Int. J. Engineering Trends and Technology, vol. 68, no. 6, pp. 87–92, 2020, doi: 10.14445/22315381/IJETT-V68I6P215.
[23] S. M. Girish et al., “Automated inventory system using sensors and mobile app,” Int. J. Computer Applications, vol. 176, no. 32, pp. 10–15, 2020, doi: 10.5120/ijca2020920633.
[24] A. K. Sharma and R. Kumar, “IoT-enabled inventory automation for small warehouses,” Int. J. Recent Technology and Engineering, vol. 8, no. 6, pp. 321–326, 2020, doi: 10.35940/ijrte.F7563.038620.
[25] M. A. Rahman et al., “Smart inventory monitoring using IoT,” Int. J. Advanced Computer Science and Applications, vol. 11, no. 7, pp. 315–321, 2020, doi: 10.14569/IJACSA.2020.0110742.
[26] H. Patel and D. Shah, “IoT based inventory control system,” Int. J. Engineering Research & Technology, vol. 9, no. 5, pp. 402–406, 2020, doi: 10.17577/IJERTV9IS050230.
[27] A. Roy et al., “Smart inventory box using microcontroller and sensors,” Int. J. Electronics Engineering Research, vol. 12, no. 3, pp. 431–438, 2020, doi: 10.37622/IJEER/12.3.2020.431-438.
[28] S. K. Panda et al., “Inventory automation using IoT and mobile application,” Int. J. Emerging Technologies in Engineering Research, vol. 8, no. 8, pp. 44–49, 2020, doi: 10.30534/ijeter/2020/4482020.
[29] R. Mehta and N. Shah, “IoT-based smart inventory management system,” Int. J. Innovative Research in Science, Engineering and Technology, vol. 9, no. 6, pp. 5123–5129, 2020, doi: 10.15680/IJIRSET.2020.0906021.
[30] V. Reddy et al., “Automated inventory monitoring system using IoT,” Int. J. Engineering and Advanced Technology, vol. 9, no. 3, pp. 2246–2251, 2020, doi: 10.35940/ijeat.C6474.029320.