📋 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:
• Filter distributor reports to identify at-risk accounts that may require retention interventions
• 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.
📊 Quick Stats:
🏷️ Type: int
📁 Build Beyond Limits Group: Outlet Health Indicators
📝 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
📁 Build Beyond Limits Group
Outlet Health Indicators
🔗 Other Dimensions in this Group
ML Outlet Churn Probability
ML Outlet Risk Category
Outlet Avg Cases Per Order
Outlet Avg Days Between Orders
Outlet Cases 9L Last 180 Days
Outlet Category Diversity
Outlet Days Since Last Order
Outlet Exclusion Reason
Outlet Has Declining Volume
Outlet Has Extended Gap
Outlet Has Low Diversity
Outlet Lifetime Cases 9L
Outlet Lifetime Order Count
Outlet M Score
Outlet Order Frequency Trend 180
Outlet Order Frequency Trend 365
Outlet Order Frequency Trend Ratio 180
Outlet Orders Last 180 Days
Outlet Primary Risk Reason
Outlet Product Diversity
Outlet R Score
Outlet RFV Category
Outlet RFV Segment
Outlet SKU Diversity Last Year
Outlet Style Diversity
Outlet Tenure Months
Outlet Top Category
Outlet Top Category Concentration
Outlet Top Product
Outlet Top Product Concentration
Outlet V Score
Outlet Volume Trend 180
Outlet Volume Trend 365
Outlet Volume Trend Ratio 180
⚙️ 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