How I Solved Inventory & Stockout Issues Using Blockchain & Data Science | Project

In this video, I present my project titled "Secured Supply Chain Monitoring for Real-Time Inventory Tracking and Demand Prediction", conducted at Vethika Enterprises. We addressed major issues such as stockouts, overstocking, and poor demand forecasting by integrating SHA-256 blockchain technology with QR code tracking and multiple linear regression for predictive analytics. Google Drive Link = https://drive.google.com/drive/folders/1Y0ImolONsIg-auBCCYZDA_NPS9DFp_ur?usp=sharing. 🔍 Key Highlights: ✔️ Blockchain-Integrated QR Code Tracking ✔️ Demand Forecasting Using Python Regression Models ✔️ Firebase Real-Time Inventory System ✔️ Statistical Model Accuracy (R² = 0.732) ✔️ Operational Improvements: 16% stockout reduction 🎯 Whether you're a student, data analyst, or MBA aspirant, this video will give insights into how data-driven supply chain solutions can bring real value to traditional businesses. 📊 Tools Used: Python, Firebase, Visual Studio, Excel 🏢 Company: Vethika Enterprises – Sambrani Product Manufacturer 🧠 Chapters: 00:00 – Introduction 01:30 – Problem Identification 03:20 – Blockchain QR Code System 05:00 – Regression Forecasting Model 07:00 – Analysis & Results 09:00 – Conclusion & Impact 📥 Like, Share, and Subscribe if you found it useful! 📩 Drop your questions or project queries in the comments.