Automated Fashion Product Attribute Extraction Using Vision Language Models

Advanced AI solutions scaled data extraction 7x without increasing operational overhead.

The project by numbers.

24h
Data turnaround
60%
Higher data quality
7x
More retailers covered
36M
SKUs daily

Meet the

business.

The client is a leading global authority in consumer and design trend forecasting, widely recognised as the world's top fashion trends forecaster. The client offers insights into emerging trends, helping merchandisers make informed, strategic decisions for upcoming seasons.

Their

challenge.

The client requires daily collection and transformation of fashion data from hundreds of global retailers, ensuring precise and comprehensive coverage. Product attributes needed to be extracted from millions of text descriptions and images of varied quality.

What we

delivered.

A bespoke solution that leverages web scraping technologies and the power of Vision Language Models (VLMs) and LLMs to collect and transform large volumes of clothing and accessories data across various departments, categories, and sub-categories from over 450 global retailer websites.

Rapid Data Delivery

Enabled data scraping and processing within 24 hours.

Enhanced Data Quality

Achieved a 60% quality improvement over manual processes.

Scalable Retailer Coverage

Expanded retailer coverage 7-fold without increasing team size.

High-Volume Processing

Processed 36M SKUs and 18M images daily at scale.

Ready to discuss

your project?

Whatever the challenge, whatever the industry, our teams work side-by-side with clients to design systems that perform today and evolve for tomorrow. That’s why leading businesses trust us to turn their toughest data ambitions into reality.

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