Finance Case Study
Brookhaven Capital
A visual search feature that improved product discovery on mobile.
-16%False Positives
The Challenge
Where things stood before
Before working with us, Brookhaven Capital was dealing with manual review processes that were both slow and inconsistent, and it was starting to cost them real business.
It was the kind of issue that showed up in day-to-day frustration long before it showed up in a report.
The Solution
What we built
Our approach focused on the root cause rather than the most visible symptom.
What we ultimately delivered was a visual search feature that improved product discovery on mobile, built specifically around what Brookhaven Capital needed.
- Validated thoroughly before deployment to avoid production surprises
- Designed around Brookhaven Capital's actual data and workflow, not a generic template
- Benchmarked against clear, agreed-upon success metrics from day one
- Delivered within a 10-week timeline without cutting scope
Results
The impact, by the numbers
-16%
False Positives
-22%
Review Time
+26%
Detection Accuracy
99.2%
Model Explainability Score
Tech Stack
Built with
PythonPyTorchBigQueryRedis
Solantis Commerce
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