Case Study: Minimal achieves AI support at scale with Firecrawl

MINIMAL powers AI support agents for 90% ticket resolution with Firecrawl

MINIMAL, a YC-backed AI customer support platform for e-commerce brands, faced the challenge of building AI agents that could accurately answer customer questions. Their agents needed deep, current knowledge of each merchant's constantly changing storefront content, but building in-house scrapers to handle every platform and custom layout would have made onboarding a lengthy engineering project. They turned to Firecrawl and its /scrape endpoint to solve this data ingestion problem.

Using Firecrawl, MINIMAL can reliably turn any merchant's live storefront into clean, structured markdown data without writing custom scrapers. This allows their AI agents to answer from the most current product and policy information. The solution has scaled significantly, processing over six million pages a month across more than 1,000 domains, and enables MINIMAL's AI agents to resolve up to 90% of customer support tickets end-to-end.

MINIMAL