Case Study: IEWC reduces manual document review with Concurrency AI-driven automation

IEWC reduces manual document review by 60–70% with Concurrency

IEWC, a U.S.-based industrial distributor, faced significant operational challenges due to its reliance on manual processes for comparing supplier and customer documents against internal records. This high-friction workflow consumed 20-30 hours of staff time per week, creating bottlenecks and limiting scalability. IEWC partnered with Concurrency, Inc. to implement an AI-driven document matching solution to reduce this manual effort while ensuring accuracy and maintaining necessary human oversight.

Concurrency implemented an AI-powered solution that automated the ingestion of documents and data extraction, matching them against internal system records. This allowed approximately 60-70% of routine transactions to be processed automatically, with only exceptions routed to staff for review. The solution from Concurrency significantly reduced manual review time, improved operational visibility, and established a scalable foundation for future automation, enabling IEWC to handle increased transaction volume without adding headcount.

IEWC