Retail Case Study
Vantagepoint Commerce
A predictive risk model that helped flag at-risk patients earlier.
+57%Conversion Rate
The Challenge
Where things stood before
Vantagepoint Commerce's biggest obstacle was manual processes that couldn't scale with a growing catalog and customer base — something their team had tried to patch more than once without lasting success.
The problem was quietly getting more expensive to ignore every month it went unaddressed.
The Solution
What we built
We started by getting a clear picture of exactly where things were breaking down before proposing anything.
What we ultimately delivered was a predictive risk model that helped flag at-risk patients earlier, built specifically around what Vantagepoint Commerce needed.
- Built using Python and HL7/FHIR for a stable, maintainable foundation
- Benchmarked against clear, agreed-upon success metrics from day one
- Validated thoroughly before deployment to avoid production surprises
- Delivered within a 8-week timeline without cutting scope
Results
The impact, by the numbers
+57%
Conversion Rate
+28%
Forecast Accuracy
-28%
Manual Review Time
+43%
Revenue Lift
Tech Stack
Built with
PythonHL7/FHIRPyTorchAWS HealthLake
Northlake Technologies
Want results like this for your business?
Let's talk about your project — no pressure, just a straightforward conversation about what you need.
Talk to an AI Expert