Finance Case Study
Ashfield Capital
A sentiment analysis system that surfaced recurring guest feedback themes.
-46%False Positives
The Challenge
Where things stood before
When Ashfield Capital first reached out, manual review processes that were both slow and inconsistent was the issue sitting at the top of their list.
The problem was quietly getting more expensive to ignore every month it went unaddressed.
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 sentiment analysis system that surfaced recurring guest feedback themes, built specifically around what Ashfield Capital needed.
- Benchmarked against clear, agreed-upon success metrics from day one
- Validated thoroughly before deployment to avoid production surprises
- Delivered within a 6-week timeline without cutting scope
- Designed around Ashfield Capital's actual data and workflow, not a generic template
Results
The impact, by the numbers
-46%
False Positives
-40%
Review Time
+41%
Detection Accuracy
98.4%
Model Explainability Score
Tech Stack
Built with
PythonPyTorchPMS APIsSQL
Wavelength Commerce
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