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Home/Generative AI Integration/Wavelength Retail Group
Retail Case Study

Wavelength Retail Group

A generative AI feature integrated directly into an existing product workflow.

+35%Conversion Rate
Wavelength Retail Group digitallyscaled
ClientWavelength Retail Group
IndustryRetail / E-commerce
Timeline6 weeks
ServicesGenerative AI Integration
The Challenge

Where things stood before

Wavelength 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.

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.

From there, a generative AI feature integrated directly into an existing product workflow, built specifically around what Wavelength Retail Group needed.

  • Benchmarked against clear, agreed-upon success metrics from day one
  • Validated thoroughly before deployment to avoid production surprises
  • Designed around Wavelength Retail Group's actual data and workflow, not a generic template
  • Delivered within a 6-week timeline without cutting scope
Results

The impact, by the numbers

+35%
Conversion Rate
+48%
Forecast Accuracy
-21%
Manual Review Time
+47%
Revenue Lift
Tech Stack

Built with

OpenAI APILangChainPythonVector DB

“They took the time to understand the actual problem before proposing a model. +35% conversion rate within a few months, which is exactly what we needed.”

CP
Cressida Prentiss

Head of Data, Wavelength Retail Group

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