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This project leverages **survival analysis** on B2B and B2C sales transaction data to predict customer re-order timing. By estimating when a customer is likely to return, the model generates a ranked priority list to drive proactive outreach and strategic collaboration planning.
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### 🎯 Scope & Purpose
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### Scope & Purpose
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***What this is:** A prototype developed during a week-long workshop within the [Canton of Zurich SME program](https://www.datascience.ch/innovation/canton-zurich-sme-program) (Step 2: *Practical Sessions and Prototyping*).
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***The Goal:** To provide a foundation for understanding survival analysis in a commercial setting.
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***Open Source:** You are encouraged to use this codebase as a starting point for your own data and experiments.
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### ⚠️ Disclaimer
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### Disclaimer
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**This project is a proof-of-concept.** The code is intended for educational and prototyping purposes only. It is **not** production-ready and should not be deployed into live systems without significant refactoring and robust testing.
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