A GIS-based hybrid mobile app enabling municipal tax departments to run real-time, geospatially accurate property surveys.
Property tax assessments are often hindered by manual data collection, lack of geospatial accuracy, and disconnected administrative systems.
To support modernized tax assessment, the company developed a hybrid mobile application that enables real-time property mapping, data capture, and integration with existing tax billing infrastructure.
This helped streamline surveys, improve tax accuracy, and boost administrative efficiency for local governments.
The client developed a GIS-based hybrid mobile application designed for municipal tax departments and authorized survey vendors.
The app enables large-scale property surveys by combining geospatial tagging, image capture, and owner information collection—all from the field.
With real-time syncing and backend integration, the platform modernizes how property data is captured, validated, and used in tax billing systems.
Every operational bottleneck reported was matched to the workstream(s) that resolved it.
Manual data collection lacked standardization and often required revalidation.
The app supported structured inputs for owner details, property measurements, and photo capture, ensuring completeness.
Without geospatial support, tagging and verifying property locations during field visits was difficult.
Integrated GIS tools allowed users to accurately identify and tag properties on digital maps during field surveys.
Disconnected tools required duplicate data entry and created inconsistencies in property records and tax calculations.
Captured data was synced with the existing tax billing system, helping ensure proper record-keeping and billing compliance.
Field data flowed directly into a central backend, enabling the tax department to generate reports, track survey progress, and review submissions.
Expanding surveys across large urban and semi-urban areas was difficult without a centralized, field-ready solution.
Over an estimated 400,000+ properties were surveyed within an 18-month timeframe, demonstrating the system's capacity for high-volume processing.
GIS-based tagging eliminated location discrepancies common in manual records.
Field teams could complete surveys more quickly with standardized data entry and offline capability.
Integration with the tax billing system reduced billing delays and ensured updated records.
The system was structured to handle large-scale surveys efficiently, supporting both urban and rural property assessments.
Re-survey efforts were likely reduced significantly due to improved accuracy of field data.
Integration with the tax billing system improved billing accuracy and ensured compliance.
Field teams likely experienced time savings through automated data capture and centralized syncing.
