π Summary:
What it is: The ML Outlet Risk Category is a machine learning-derived risk assessment that predicts the likelihood of an outlet (retailer or restaurant) experiencing significant sales churn or discontinuation.
How to use it:
β’ Filter distributor sales reports to prioritize high-risk accounts requiring immediate sales intervention
β’ Segment marketing and account management resources toward outlets with elevated churn probability
Tip: When analyzing risk, select multiple risk categories together to create comprehensive account management views, such as combining "High Risk" and "Very High Risk" for focused strategic planning.
This summary was generated by AI.
π Quick Stats:
π·οΈ Type: string
π Build Beyond Limits Group: Outlet Health Indicators
π Description
A simple risk rating based on the churn probability: Very High Risk (80%+): Immediate action needed High Risk (60-80%): Strong intervention recommended Medium Risk (40-60%): Monitor closely Low Risk (20-40%): Stable but worth watching Very Low Risk (<20%): Healthy account
π Build Beyond Limits Group
Outlet Health Indicators
π Other Dimensions in this Group
ML Outlet Churn Probability
ML Outlet Predicted Churn
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
βοΈ Technical Details
Type: string
βΉοΈ Additional Details
Created: 2025-11-07T22:43:21Z
Key:
[dimension].[ML Outlet Risk Category]ID:
2b266de0-cad2-4eda-9162-3866b82b15df
π·οΈ Tags
ML Outlet Risk Category
Outlet Health Indicators
