Retail Case Study
Juniper Retail Group
A ticket classification system that cut manual triage time significantly.
+27%Conversion Rate
The Challenge
Where things stood before
Juniper Retail Group'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.
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.
From there, a ticket classification system that cut manual triage time significantly, built specifically around what Juniper Retail Group needed.
- Structured so Juniper Retail Group's own team could monitor and maintain it going forward
- Validated thoroughly before deployment to avoid production surprises
- Delivered within a 7-week timeline without cutting scope
- Benchmarked against clear, agreed-upon success metrics from day one
Results
The impact, by the numbers
+27%
Conversion Rate
+32%
Forecast Accuracy
-15%
Manual Review Time
+38%
Revenue Lift
Tech Stack
Built with
PythonspaCyHugging FacePyTorch
Keystone Software
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