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Home/Computer Vision Solutions/Farsight Retail Group
Retail Case Study

Farsight Retail Group

A quality-inspection vision system that caught defects a manual process missed.

+41%Conversion Rate
Farsight Retail Group digitallyscaled
ClientFarsight Retail Group
IndustryRetail / E-commerce
Timeline7 weeks
ServicesComputer Vision Solutions
The Challenge

Where things stood before

When Farsight Retail Group 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.

It wasn't a small fix — the underlying approach needed to change, not just the surface.

The Solution

What we built

Rather than jumping straight to a model, we spent time understanding the specific shape of the problem first.

What we ultimately delivered was a quality-inspection vision system that caught defects a manual process missed, built specifically around what Farsight Retail Group needed.

  • Validated thoroughly before deployment to avoid production surprises
  • Benchmarked against clear, agreed-upon success metrics from day one
  • Structured so Farsight Retail Group's own team could monitor and maintain it going forward
  • Delivered within a 7-week timeline without cutting scope
Results

The impact, by the numbers

+41%
Conversion Rate
+36%
Forecast Accuracy
-34%
Manual Review Time
+59%
Revenue Lift
Tech Stack

Built with

PythonPyTorchOpenCVTensorRT

“We'd talked about doing something with AI for a long time without knowing where to start. Having it scoped properly made all the difference — +41% conversion rate within a few months.”

KN
Kaia Novikova

VP of Product, Farsight Retail Group

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