A playground for AI/ML solutions in Supply Chain Management
I'm curious how AI and Machine Learning can solve real-world SCM problems and deliver business value. This is a quick playground to explore those ideas—small, practical demos that turn questions into data-driven answers.
Everything here is open-source, fast to try, and focused on business impact.
Problem: Stockouts and expediting because supplier delays aren’t predicted and ROPs are static.
Solution: Learn from shipment history to predict late-risk & ETA; compute Safety Stock & ROP/EOQ for chosen service levels.
Tools: Python · Streamlit · scikit-learn · pandas · numpy · plotly.
LinkedIn: Venkat Krishnan
Email: contact@venkat-scm.com