Case Study: Emerson boosts payment matching accuracy and speeds up cash application with Sema4.ai Agents

Emerson - Customer Case Study

The industrial manufacturer Emerson faced a challenge in manually extracting remittance data from emails and attachments for its payment processing system. This labor-intensive and error-prone process led to frequent payment matching discrepancies and inefficiencies.

By implementing Sema4.ai Agents, Sema4.ai automated the scanning of emails for critical remittance data. This solution significantly reduced manual processing and errors, boosting the system's unstructured data match rates by more than double. The result for Emerson was faster payments, a reduction in days sales outstanding, and greatly improved operational accuracy.

Emerson