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Home/Vector Database Implementation/Skyfield Retail Group
E-commerce Case Study

Skyfield Retail Group

A hybrid search setup that combined semantic and keyword search effectively.

+59%Conversion Rate
Skyfield Retail Group digitallyscaled
ClientSkyfield Retail Group
IndustryRetail / E-commerce
Timeline4 weeks
ServicesVector Database Implementation
The Challenge

Where things stood before

Skyfield 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.

Competitors and peers seemed to have this figured out already, which only made it more frustrating.

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 hybrid search setup that combined semantic and keyword search effectively, built specifically around what Skyfield Retail Group needed.

  • Benchmarked against clear, agreed-upon success metrics from day one
  • Designed around Skyfield Retail Group's actual data and workflow, not a generic template
  • Built using Pinecone and Weaviate for a stable, maintainable foundation
  • Delivered within a 4-week timeline without cutting scope
Results

The impact, by the numbers

+59%
Conversion Rate
+27%
Forecast Accuracy
-27%
Manual Review Time
+28%
Revenue Lift
Tech Stack

Built with

PineconeWeaviatePythonOpenAI Embeddings

“I was skeptical this would actually work for us specifically. But +59% conversion rate within a few months, and the process to get there was more thoughtful than I expected.”

WP
Waldemar Prentiss

Head of Data, Skyfield Retail Group

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