Case Study: North Avenue Capital achieves faster, more accurate credit eligibility checks with Searce and Google Cloud

North Avenue Capital Automates Credit Eligibility Process With GCP

North Avenue Capital (NAC), a specialized commercial lender for USDA loans, faced a significant bottleneck in its growth. Its manual process for assessing the credit eligibility of customers by verifying if they were within USDA-approved zones was causing lengthy delays, customer dissatisfaction, and attrition. To overcome this challenge, NAC partnered with vendor Searce to automate its data assessment and querying pipeline.

Searce implemented a solution leveraging Google Cloud Platform’s BigQuery, Google Sheets, and Forms. They created an automated pipeline where customer address data from a web form was converted to geo-coordinates and transferred to BigQuery. A query then compared these coordinates against a USDA eligibility shapefile to instantly determine loan qualification. This solution built by Searce drastically reduced processing lead time, eliminated manual staffing needs, improved accuracy, and lowered the loan failure rate for NAC.

North Avenue Capital