StableScore AI
Back to solution: Sales Intelligence
Customer risk

Detect customer churn before lost revenue becomes visible

StableScore AI combines behavioral changes into an explainable risk signal and shows which customer needs which intervention.

Request a free analysis

80%+

recommendation hit rate in real-data simulations

Figures come from validated pilot or real-data tests. They are not a general performance guarantee.

The operational problem

Churn often begins long before termination

Lower frequency, smaller baskets and complaints live in different systems and are evaluated too late when viewed separately.

Relevant data

Early customer-risk signals

  • Order intervals and basket trend
  • Complaints and service cases
  • Contact activity
  • Deviation from the customer's own pattern
Concrete output

Risk, reason and suitable intervention

The team sees more than a score: it sees the triggering changes and the recommended conversation context.

Example output

Proactively discuss churn risk

The team sees more than a score: it sees the triggering changes and the recommended conversation context.

Success measure

Revenue retained among risks detected early

Account monitoring

87 / 100

Proactively discuss churn risk

Basket value fell 24%
Order pause is twice the norm
Two new complaints

Next action

Notify the account manager and schedule a review

From data to action

A clear chain instead of another dashboard

Data sources

ERP, CRM, spreadsheets, documents and APIs

Analysis

Normalization, patterns, risks and opportunities

Explainable result

Priority, reasons and confidence

Workflow

A concrete task for the right person

Sales Intelligence

Know which customer needs attention today and why

Back to solution

Not a generic demo. A concrete data and decision assessment.

We assess your use case, available data and a measurable pilot scope.

Request a free analysis