Sales Intelligence software

Sales Intelligence for clear account priorities

Sales Intelligence turns fragmented sales data into prioritized visits, specific product recommendations and early customer-risk signals.

Example output Northern territory · Today

Score: 92 / 100

Prioritize Kronen Handel today

Why this recommendation?

  • Order frequency fell 31% in eight weeks
  • Two relevant assortment gaps
  • High customer value

Next action

Schedule a visit within three days

What is Sales Intelligence?

Sales Intelligence connects sales data from ERP, CRM and spreadsheets, detects meaningful changes and turns them into prioritized, explainable actions. Instead of another dashboard, B2B teams get a clear answer about which account, risk or opportunity should be handled first.

  • Prioritize accounts

    Rank customers and open opportunities by current revenue risk, potential and urgency.

  • Find assortment gaps

    Reveal missing product categories using the real buying patterns of comparable customers.

  • Detect churn risk early

    Combine lower order frequency, smaller baskets and unusual pauses into explainable risk signals.

Sales Intelligence for operational sales decisions

For B2B teams, the platform connects existing ERP, CRM and spreadsheet data with a reviewable path from signal to next action.

  • Focused business scope

    Start with one recurring decision and keep existing sales ownership.

  • ERP, CRM and spreadsheets

    Connect customer, product and activity data through a shared business model.

  • Privacy and data control

    Define fields, roles and deployment before the pilot.

  • Measured pilot

    Agree the baseline, success metric, human review and next action in advance.

Validated operational results

30 million real sales rows processed in 30 minutes

A real-data test produced field-ready models within one hour. Calculations for thousands of points of sale now complete in seconds.

  • 30M

    sales rows

  • 30 min

    data processing

  • 1 hour

    to usable models

  • 80%+

    recommendation hit rate in real-data simulations

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

Concrete outputs

Turn long account lists into clear sales actions

  • 01

    Visit priority

    See which customers can make the largest difference to revenue or relationship today.

  • 02

    Customer risk

    Detect changes that indicate declining activity or churn.

  • 03

    Cross-sell recommendation

    Find missing product groups that fit the behavior of comparable customers.

From data to action

A clear chain instead of another dashboard

  1. 01Data sourcesERP, CRM, spreadsheets, documents and APIs
  2. 02AnalysisNormalization, patterns, risks and opportunities
  3. 03Explainable resultPriority, reasons and confidence
  4. 04WorkflowA concrete task for the right person

Related use cases

Start with one recurring decision

Sales prioritization

Which customers should your sales team handle first today?

Every prioritized account includes triggers, reasons, confidence and a concrete next action.

Customer risk

Detect customer churn before lost revenue becomes visible

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

Example output Account monitoring

Score: 87 / 100

Why this recommendation?
  • Basket value fell 24%
  • Order pause is twice the norm
  • Two new complaints

Next action

Notify the account manager and schedule a review

Cross-sell

Know which product fits which existing customer

The recommendation names the relevant category, comparable patterns and a suitable offer moment.

Example output Assortment potential

Score: 81 / 100

Why this recommendation?
  • Similar customers buy two additional categories
  • High reorder probability
  • Current order creates a relevant moment

Next action

Prepare a customer-specific additional offer

Opportunity follow-up

Do not let valuable sales opportunities sit without follow-up

The team receives the most important open opportunity, its trigger and a directly executable task.

Example output Opportunity monitoring

Score: 78 / 100

Why this recommendation?
  • Quote open for 12 days
  • No follow-up activity
  • High expected order value

Next action

Create a follow-up task for the account manager

Sovereign architecture

Your data stays under your control

StableScore AI combines operational AI with predictable costs and an infrastructure choice that remains with your organization.

  • Data stays in your environment

    Private-cloud and on-premise deployment support sensitive data requirements.

  • No vendor lock-in

    Models and infrastructure can be selected to fit the organization.

  • Predictable cost

    Large datasets are processed without sending every record through expensive LLM tokens.

  • Explainable results

    Recommendations show triggering signals, reasons and the next step.

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