Healthcare Case Study
Marrowvale Medical Group
A demand forecasting model that reduced excess seasonal inventory.
-42%Admin Time Saved
The Challenge
Where things stood before
Marrowvale Medical Group came to us with a problem that had been building for a while: administrative and clinical workflows that hadn't kept pace with the volume they were handling.
Their team suspected AI could help but weren't sure where to actually start.
The Solution
What we built
Rather than jumping straight to a model, we spent time understanding the specific shape of the problem first.
What we ultimately delivered was a demand forecasting model that reduced excess seasonal inventory, built specifically around what Marrowvale Medical Group needed.
- Delivered within a 7-week timeline without cutting scope
- Structured so Marrowvale Medical Group's own team could monitor and maintain it going forward
- Designed around Marrowvale Medical Group's actual data and workflow, not a generic template
- Built using Python and Prophet for a stable, maintainable foundation
Results
The impact, by the numbers
-42%
Admin Time Saved
99.9%
Model Accuracy
-41%
Patient Wait Time
+34%
Staff Satisfaction
Tech Stack
Built with
PythonProphetOR-ToolsSQL
Novasound Capital
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