Case Study: a US-based supply chain company boosts RFQ automation accuracy with Toptal's AI solution

US-based Supply Chain Company boosts RFQ accuracy from 75% to 96% with Toptal

The customer, a US-based supply chain company, faced a slow and error-prone manual process for handling request for quote (RFQ) emails across multiple document formats. Toptal was engaged to provide AI development services to automate this complex RFQ processing.

Toptal built a Python automation system powered by AWS Bedrock and Claude to extract data from emails and documents. This solution implemented multilayer data validation, which boosted overall automation accuracy from 75% to 96%. The results included 100% accurate contact extraction and accelerated quotation turnaround for the customer.