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ML Outlet Predicted Churn

Updated over 2 months ago

πŸ“‹ Summary:

What it is: A machine learning predictive flag indicating the likelihood of a wholesale outlet stopping future wine purchases (churning) based on historical ordering patterns.

How to use it:
β€’ Filter distributor reports to identify at-risk accounts that may require retention interventions
β€’ Segment sales territories or account management strategies based on predicted churn probability

Tip: When filtering, remember that "1" means high churn risk, so select carefully to focus on accounts needing proactive attention.

This summary was generated by AI.


πŸ“Š Quick Stats:

  • 🏷️ Type: int

  • πŸ“ Build Beyond Limits Group: Outlet Health Indicators


πŸ“ Description

Whether our AI model predicts this account will stop ordering (churn). Shows as 1 for "yes, likely to churn" or 0 for "no, likely to stay active." This is the model's final yes/no decision


πŸ“ Build Beyond Limits Group

Outlet Health Indicators

πŸ”— Other Dimensions in this Group


βš™οΈ Technical Details

Type: int


ℹ️ Additional Details

  • Created: 2025-11-07T22:41:32Z

  • Key: [dimension].[ML Outlet Predicted Churn]

  • ID: 5c2d376b-df12-48e3-a13a-69ede17db37a


🏷️ Tags

  • ML Outlet Predicted Churn

  • Outlet Health Indicators

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