Our approach to eliminate rejects

Intelligent pre-processing and address parsing

• Correction of data entry errors, formatting issues and data field reconciliation
• Conversion of the list for optimum CASS performance

Multiple CASS Engines

• Capitalizing on the varyiung strengths of each engine
• Using a waterfall model

Comprehensive and up-to-date name/address database to correct the remaining addresses

• Addresses from over 215 million consumers at 110 million living units across the United States
• Corrections include house number, street name, missing or invalid directional, bad address format, and secondary information such as apt # or suite #