SaaS Case Study
Silvermere Software
A revenue forecasting model that gave finance more confidence in quarterly planning.
+20%Feature Adoption
The Challenge
Where things stood before
Silvermere Software came to us with a problem that had been building for a while: a product experience that couldn't personalize or scale the way the market expected.
The problem was quietly getting more expensive to ignore every month it went unaddressed.
The Solution
What we built
Our approach focused on the root cause rather than the most visible symptom.
What we ultimately delivered was a revenue forecasting model that gave finance more confidence in quarterly planning, built specifically around what Silvermere Software needed.
- Benchmarked against clear, agreed-upon success metrics from day one
- Structured so Silvermere Software's own team could monitor and maintain it going forward
- Built using Python and Prophet for a stable, maintainable foundation
- Designed around Silvermere Software's actual data and workflow, not a generic template
Results
The impact, by the numbers
+20%
Feature Adoption
98.4%
Model Accuracy
-44%
Support Tickets
94.5%
Uptime
Tech Stack
Built with
PythonProphetscikit-learnSQL
Threadline Health
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