A prominent U.S.-based healthcare and insurance organization, one of the largest of its kind, struggled with complex, high-volume data reconciliation. Due to its integrated B2C model, the client had to accurately reconcile account receivable data against inbound customer payments at scale. This process was heavily manual, relying on spreadsheets to ingest and prepare diverse data from various sources (including Point of Sale data) before manually matching across numerous customer accounts and exporting to the general ledger. This manual method was inflexible and prevented quick investigation of mismatches.
AutoRek was implemented as an enterprise-grade, end-to-end data control platform to fully automate reconciliation and reporting. Its data agnostic ingestion functionality and flexibility allowed it to solve all of the client’s complex data challenges through automation. The platform ingests raw accounts receivable and POS data, enhances it using reference data tables, and matches transactions with a high degree of accuracy.
- Efficiency Boost: Led to an immediate efficiency boost by reducing manual work in data preparation and a significant increase in match rates.
- User-Friendly Platform: Team members found the platform incredibly user-friendly, freeing them up to investigate and apply cash at a higher volume.
- Flexible Case Management: The flexible nature of the platform for creating and amending match rules and case management gave managers confidence to drive efficiency as the business scales.
- Seamless Integration: Mismatches are easily assigned and investigated using the powerful case management capability, and the platform integrates directly with the client’s GL system.