📋 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:
• Filter distributor sales reports to prioritize high-risk accounts requiring immediate sales intervention
• 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.

📊 Quick Stats:

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

Outlet Health Indicators

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