Built for IRIS HackWise at IIM Indore, MediStock AI was born out of a critical need for smarter supply chain solutions. The problem we tackled is dead-stock inventory management in pharmaceuticals—medicines and medical supplies that sit unsold, expire, and cause massive financial losses to distributors and healthcare providers alike.
Every year, billions of dollars worth of medication go to waste because of inefficient tracking and demand forecasting. MediStock AI leverages Machine Learning-driven risk prediction to identify at-risk batches early. By analyzing factors like stock quantity, weekly sales velocity, and historical trends, our system helps warehouses take proactive actions before stock becomes a liability.