Retail Case Study
Sablecrest Commerce
An adaptive learning tool that improved engagement for struggling students.
+50%Conversion Rate
The Challenge
Where things stood before
When Sablecrest Commerce first reached out, manual processes that couldn't scale with a growing catalog and customer base 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
We started by getting a clear picture of exactly where things were breaking down before proposing anything.
The result was straightforward: an adaptive learning tool that improved engagement for struggling students, built specifically around what Sablecrest Commerce needed.
- Structured so Sablecrest Commerce's own team could monitor and maintain it going forward
- Built using Python and PyTorch for a stable, maintainable foundation
- Delivered within a 10-week timeline without cutting scope
- Designed around Sablecrest Commerce's actual data and workflow, not a generic template
Results
The impact, by the numbers
+50%
Conversion Rate
+20%
Forecast Accuracy
-32%
Manual Review Time
+42%
Revenue Lift
Tech Stack
Built with
PythonPyTorchLMS APIsSQL
Trueline Technologies
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