E-commerce Case Study
Wildfield Retail Group
An A/B testing framework that validated model improvements before full rollout.
+39%Conversion Rate
The Challenge
Where things stood before
Wildfield Retail Group came to us with a problem that had been building for a while: manual processes that couldn't scale with a growing catalog and customer base.
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
We started by getting a clear picture of exactly where things were breaking down before proposing anything.
From there, an A/B testing framework that validated model improvements before full rollout, built specifically around what Wildfield Retail Group needed.
- Benchmarked against clear, agreed-upon success metrics from day one
- Delivered within a 6-week timeline without cutting scope
- Validated thoroughly before deployment to avoid production surprises
- Designed around Wildfield Retail Group's actual data and workflow, not a generic template
Results
The impact, by the numbers
+39%
Conversion Rate
+60%
Forecast Accuracy
-35%
Manual Review Time
+20%
Revenue Lift
Tech Stack
Built with
GrafanaPrometheusMLflowPython
Yieldline Industries
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