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How We Collected Nationwide Tire Pricing Data for a Leading U.S. Retailer
Through this project, we helped a leading U.S. tire retailer monitor nationwide pricing and shipping data from 20 major competitors, covering over 50,000 SKUs and generating roughly one million pricing rows per weekly crawl. The challenges included add-to-cart pricing, login-required sites, captchas, and multi-seller listings, all of which required adaptive algorithms, caching, and contextual parsing to ensure 99% accuracy. Our QA framework, built around cached validation and


Product Matching and Competitor Pricing Data for a Restaurant Chain: Case Study
About the Company One of the largest quick-service restaurant franchises in North America partnered with Ficstar to elevate their...


Case Study - Baker & Taylor maximizes competitive edge with Ficstar’s reliable pricing data
Baker & Taylor, a distributor of books and entertainment, has been in business for over 180 years. It is based in Charlotte, North...
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