nnvr345/SUPPLY-CHAIN-ANOMALY-DETECTION ? reverse-engineered prompt

I want you to help me build a simple supply chain anomaly detection project from the files in this repo.

The goal is to take the raw CSV data, clean it up, and then show a few different ways to spot unusual patterns in the supply chain. Please make the notebook flow easy to follow, starting with data cleaning, then exploring the data, then trying a few anomaly detection approaches, and finally comparing which one works best. I’d like it to feel like a complete student project, with clear explanations in the notebook and results that can be turned into a report.

If anything is unclear, check the notebooks already in the folder and use the current docs online if you need to. Please keep the final output practical and readable, and make sure the code runs end to end on the cleaned data files in the repo.