Case Study: a large global retailer achieves AI-powered pricing intelligence with Zyte

Large Global Retailer delivers 3+ million data items per month with Zyte

A large global retailer faced the challenge of gathering weekly pricing intelligence data from hundreds of websites across 30+ countries. They needed to extract not only standard pricing data but also hard-to-access product attributes buried within unstructured text, which made standard extraction methods inadequate. They enlisted Zyte for a managed data extraction project to acquire this data ethically and at scale.

Zyte implemented a solution using its AI-powered automatic extraction technology, Zyte API’s AI Scraping, to gather most of the structured data. For the unstructured text, a custom-built LLM was developed to extract the required attributes. The solution delivered over 3 million data items per month with a 99.9% success rate, reducing development time per spider by 25%. Zyte successfully provided the client with the comprehensive data needed for their global price intelligence efforts.