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Solution showcase Forecasting & Prediction

Sales Pipeline Intelligence

Scores open deals by win likelihood and lists which need attention this week.

All industries · Sales & Marketing

Illustrative example build, not a client case study.

The challenge

Pipeline reviews rely on optimistic forecasts, and stalled deals are noticed too late.

Technology

  • Power BI
  • Python
  • Dynamics 365 / HubSpot / Excel
  • Power Automate
How it works
  1. 1

    Clean the pipeline

    CRM or Excel pipeline data is cleaned and enriched with activity history.

  2. 2

    Score each deal

    A model estimates win likelihood from stage, age, activity and deal size.

  3. 3

    Highlight risks

    Deals with no recent activity or slipping dates are flagged.

  4. 4

    Weekly action list

    Each salesperson receives a short list of deals to act on this week.

Designed to deliver

  • More realistic sales forecasts
  • Fewer deals lost to neglect
  • Sharper weekly pipeline meetings

Telecom & Technology · Sales & Marketing

Churn prediction & retention

A churn model identifies at-risk customers and triggers retention offers and outreach.

Banking & Financial Services · Finance

Collections risk prediction

A model scores accounts by likelihood of late payment so teams prioritize outreach.

Manufacturing & Industrial · Supply Chain

Demand & inventory forecasting

Machine learning forecasts by product and region feed the planning workbook and Power BI.

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