A global fashion group operating across 18 countries was losing margin every week because competitor price changes took 7 days to reach their pricing team. DataGators built a fully automated price intelligence pipeline that closed the gap in 3 weeks.
The client operated across 18 countries selling fashion, footwear, and accessories through both owned e-commerce and third-party marketplaces including Zalando, ASOS, and Amazon. Their pricing team was manually checking competitor prices using a combination of browser plugins and spreadsheets — a process that took a full week to complete one cycle across all markets.
By the time pricing decisions were made, the competitive landscape had already shifted. Promotions were being missed. Margin was eroding on hundreds of bestselling SKUs because competitors had moved first.
Following a 30-minute discovery call, DataGators scoped and delivered a full price intelligence pipeline within 21 days. The solution covered 340,000 SKUs across 14 competitor websites and 4 marketplaces in 18 countries — updated every 2 hours.
Within 90 days of go-live the client reported measurable commercial outcomes across all 18 markets. The pricing team went from reactive to proactive — catching competitor promotions within 2 hours instead of 7 days.
The pipeline was built on DataGators' proprietary crawling infrastructure with residential proxy rotation across all 18 markets, headless browser rendering for JavaScript-heavy product pages, and AI-powered product matching to handle variations in titles, sizes, and colour naming conventions across regions.
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