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End-to-End Automation Platform for Tax-Delinquent Asset Transactions

lookfar.com

Financial services

Real estate

Government

Legacy System Limitations and Scaling Challenges

CivicSource's internal team was at capacity maintaining legacy systems while needing to launch new products to meet aggressive growth targets. Compliance processes required manual physical mail handling, and existing infrastructure lacked scalability for transaction volume.

About the Client

Online marketplace for auctioning and purchasing tax-delinquent assets, founded in 2008 with $400M+ collected for taxing authorities

Platform Modernization and Product Expansion Goals

Automate compliance mail processing with digital service (Send)
Develop integrated product suite for end-to-end asset transactions
Replace legacy systems with scalable cloud architecture
Enable seamless third-party integrations and data aggregation
Support business model transformation through new digital offerings

Core System Capabilities

Digital mail automation (Send) with high-volume processing
Multi-product suite for auction, purchase, and compliance workflows
Third-party data aggregation and normalization engine
Hardware interface integration for physical asset management
AWS-hosted web platform with React/Node.js frontend

Technology Stack Requirements

Node.js

React

PostgreSQL

AWS

External System Connections

Tax authority databases
Payment processing systems
Physical mail hardware interfaces
Third-party data providers

Performance and Quality Attributes

Scalability to 160K+ daily transactions
99.99% system availability
Data schema normalization across heterogeneous sources
Compliance with financial data security standards
Optimized processing performance under variable loads

Business Transformation Metrics

Projected 5x throughput improvement in compliance processing, 10x performance gains with optimized inputs, and enabling of new revenue streams through expanded product offerings. Platform will support market expansion beyond current 4-state footprint while reducing operational overhead.