Finance Case Study
Novasound Capital
A warehouse picking optimization that reduced average fulfillment time.
-25%False Positives
The Challenge
Where things stood before
Novasound Capital came to us with a problem that had been building for a while: manual review processes that were both slow and inconsistent.
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
Rather than jumping straight to a model, we spent time understanding the specific shape of the problem first.
The result was straightforward: a warehouse picking optimization that reduced average fulfillment time, built specifically around what Novasound Capital needed.
- Benchmarked against clear, agreed-upon success metrics from day one
- Delivered within a 9-week timeline without cutting scope
- Structured so Novasound Capital's own team could monitor and maintain it going forward
- Validated thoroughly before deployment to avoid production surprises
Results
The impact, by the numbers
-25%
False Positives
-31%
Review Time
+47%
Detection Accuracy
97.7%
Model Explainability Score
Tech Stack
Built with
PythonProphetOR-ToolsSQL
Kestrelworks Commerce
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