Clarify the decision
We define which recurring decision should be improved.
StableScore AI connects operational data, detects relevant change and delivers prioritized recommendations across sales, customer development, procurement and grants.
Prioritized decision
Northern sales territory · Today
Recommendation
Order frequency at a high-value account declined by 31% over 8 weeks.
Why this recommendation?
Order rhythm deviated
Recommendation
Prioritize Kronen Handel today
Next action
Schedule a visit and review assortment
Sales Intelligence combines customer, revenue and activity signals into a clear priority for field sales. Every recommendation shows what happened, why it matters and which action makes sense next.
01
Visit planning
02
Customer risk
03
Cross-sell
04
Opportunity follow-up
Decision Center
Northern sales territory · Today
Recommendation
Order frequency at a high-value account declined by 31% over 8 weeks.
Why this recommendation?
Order rhythm deviated
Assortment gap detected
High customer value
Next action
Schedule a visit and review assortment
Customer, Procurement and Grant Intelligence are independent, ready-to-use solutions. They apply the same explainable logic to the decision problem of each function.
Starting point
Customer potential and due-diligence information sit across disconnected sources and manual processes.
Decision
Prioritizes relevant prospects or combines documents, screening signals and missing evidence in one case file.
Starting point
Different formats, currencies, delivery dates and missing lines make quote comparison slow and error-prone.
Decision
Normalizes quotes and explains the most economical complete option, including deviations.
Starting point
Relevant programs, partner requirements and deadlines are lost in repeated manual research.
Decision
Prioritizes matching calls, explains the fit and researches potential partners when needed.
The solutions build on existing systems and translate different business signals into traceable, prioritized workflows.
Data sources
ERP, CRM, Excel and APIs
Business signals
Patterns, deviations, risks and opportunities
Decision logic
Context, reasons and prioritization
Workflows
Concrete action for the right person
A recommendation creates value only when teams understand it, adopt it in their workflow and can operate it within their infrastructure requirements.
Triggering signals and decision reasons remain visible to teams.
Existing ERP, CRM, Excel and API data continues to be used.
Private cloud or on-premise with local or API-based models.
The first step focuses on a relevant use case, the available data and a clearly measurable workflow.
We define which recurring decision should be improved.
We review available sources, quality and the integration path.
We define users, the target outcome and the next implementation step.
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