From Manual to Measured: Smart Inventory Tracking at Lee Spring India Pvt. Ltd.

Abstract

Lee Spring India kept track of its inventory by doing manual paper checks and putting off posting to the ledger, which caused a lot of mistakes and made cycle counts take a lot of extra time. A low-cost Smart Inventory Tracker prototype was made as part of an internship project. It combines QR/Barcode scanning, bin-level weighing with HX711 load cells, and Wi-Fi event logging to show differences in inventory and set off alerts. The managers' job was to improve the accuracy of real-time inventory and the productivity of workers without spending money on a full-scale warehouse management system (WMS) infrastructure. The current literature emphasizes prevalent inaccuracies in inventory records and the advantages of IoT-enabled monitoring through sensor fusion that integrates vision and weight detection, as well as phased pilot-led adoption strategies tailored for SMEs. The design of the artifact made it clear where to put the sensors, how to use the tolerance band logic, how to handle exceptions, and how to calibrate the sensors. It also weighed the costs of hardware and training against the benefits of reducing errors and making audits easier. The case gets students ready to figure out how to measure benefits, write standard operating procedures (SOPs), and make roadmaps for pilot-to-scale projects that are based on measurable KPIs and written control mechanisms. Clearly marked are assumptions, terms, and limits.