A three-component system for energy audit data collection, traffic system management, and retail inventory tracking. Mobile-first capture with a centralised mainframe dashboard.
Organisations conducting field surveys — energy auditors assessing building efficiency, traffic engineers counting vehicle flows, and retail teams managing inventory — were stuck with paper-based data collection. Forms were lost, data entry errors were rampant, and it often took weeks for field data to reach decision-makers in a usable format.
Our clients needed a unified system that could handle diverse data collection workflows across different industries while maintaining a consistent, user-friendly mobile capture experience. The system had to support offline operation in remote areas, accommodate custom form designs without developer involvement, and provide real-time aggregation and reporting at the head office level.
Inovosystems developed AuZo Data Master, a three-component platform consisting of a mobile field data capture app (Android/iOS), a mainframe-style web dashboard for data aggregation and management, and a real-time reporting engine with configurable export formats.
The system supports three primary deployment flavours: EnergyAudit for building energy performance assessment (SANS 10400-XA compliant), TrafficCount for vehicle classification and traffic flow studies, and RetailScan for stock-taking and inventory audits. All three share a common data engine that allows custom form configuration, GPS-stamped data collection, photo attachment, and barcode scanning.
Flutter-based cross-platform application with SQLite local storage for full offline operation. Features include dynamic form rendering, GPS tracking, camera integration, and barcode scanning via device camera.
React-based web application with a mainframe terminal-inspired UI — high-density data tables, keyboard-driven navigation, and batch operations. Designed for power users processing large volumes of field records.
Node.js / Express RESTful API with PostgreSQL database. Sync engine handles conflict resolution, partial uploads, and delta sync for poor connectivity environments. Data export to Excel, CSV, PDF, and XML.
Admin interface for creating custom data collection forms without coding — drag-and-drop field configuration, validation rules, conditional logic, and multi-language support (English, Afrikaans, isiZulu).
Artificial intelligence enhances data quality, automates analysis, and extracts insights from collected field data.
Computer vision models automatically classify photos captured in the field — distinguishing vehicle types in traffic surveys, identifying energy equipment types in audits, and reading meter dials from photographs, reducing manual data entry.
ML models detect anomalous field entries in real time — implausible measurements, GPS coordinates outside expected zones, and inconsistent form completion patterns. Field officers are prompted to verify or correct before submission.
AI-powered analytics engine identifies trends across aggregated datasets — energy consumption patterns across buildings, traffic congestion hot spots, and inventory turnover anomalies — presented as auto-generated insights on the mainframe dashboard.
Speech-to-text integration allows field officers to dictate observations hands-free. AI transcribes and maps spoken data to the correct form fields, supporting multilingual input including South African English and isiZulu.
AuZo Data Master has been deployed across energy audit companies, traffic engineering consultancies, and retail logistics firms. Field teams that previously spent 2-3 days digitising paper forms now have data available on the dashboard within minutes of collection. One energy audit client reported a 90% reduction in data processing time, enabling them to take on 3x more audit projects annually. The AI-powered image recognition module eliminated over 1,000 hours of manual data entry in the first year, with vehicle classification accuracy exceeding 94%.
Offline-first cross-platform apps with rich media capture, GPS integration, and real-time sync.
Learn more →Data-dense dashboards with powerful filtering, bulk operations, and multi-format export capabilities.
Learn more →Computer vision, speech recognition, and automated analytics built into field data workflows.
Learn more →Conflict-resolving sync engines, scalable APIs, and robust data pipelines for field operations.
Learn more →From energy audits to traffic surveys, we build custom data collection systems that work offline and scale globally.
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