Location-based tracking system with mobile app, web dashboard, and hardware tracker. Supports vehicle, asset, and personnel tracking with flexible hosted or on-premise deployment.
South African businesses managing vehicle fleets, high-value assets, and field-based personnel faced persistent visibility gaps. Commercial tracking solutions were expensive, locked into proprietary hardware, and often failed in the country's challenging network environments. Fleet managers couldn't get reliable real-time location data, asset losses went undetected until stocktakes, and field worker safety was difficult to monitor.
Our clients — a logistics company, a construction firm, and a security service provider — needed a tracking platform that was cost-effective, worked across multiple network technologies (GPS, GSM, LoRa), offered flexible deployment options (cloud or on-premise), and could integrate with their existing operational systems without vendor lock-in.
Inovosystems built InoTrack, a modular IoT tracking platform comprising three integrated components: tracker hardware devices (GPS/GSM and LoRa variants) that can be installed in vehicles, attached to assets, or carried by personnel; a mobile app for field workers and supervisors to share location, check in at waypoints, and trigger SOS alerts; and a web-based fleet management dashboard with real-time maps, geofencing, route history, and analytics.
The platform is designed for flexible deployment — available as a fully managed cloud service (SaaS) or as an on-premise installation for clients with data sovereignty requirements. Open API enables integration with ERP, payroll, and dispatch systems.
Custom-designed tracker devices based on Nordic nRF91 and Quectel LTE-M modules. GPS + cellular + Wi-Fi positioning for indoor/outdoor coverage. Battery-powered (30-day life) and hardwired vehicle variants with ignition detection.
Flutter cross-platform app for Android and iOS. Features include location sharing, geofence notifications, check-in/check-out at job sites, SOS panic button with automatic alert escalation, and offline location buffering.
Node.js API with MQTT broker for real-time device communication. PostgreSQL with PostGIS for geospatial queries. Redis for session management and location caching. WebSocket-based live tracking feed for the dashboard.
React-based single-page application with Mapbox GL for high-performance map rendering. Features include multi-vehicle tracking, route playback, geofence management, trip reporting, fuel consumption analytics, and driver behaviour scoring.
AI powers advanced analytics that turn location data into actionable operational intelligence.
Machine learning algorithms analyse historical traffic patterns, road conditions, and delivery schedules to suggest optimal routes in real time. Fleets using route optimisation report 15-20% reduction in fuel consumption and faster delivery times.
AI models evaluate telemetry data — speeding, harsh braking, rapid acceleration, cornering — to generate driver safety scores. Fleet managers receive weekly reports with coaching recommendations, reducing accident rates by 30% at pilot companies.
ML models analyse vehicle diagnostics data transmitted by hardwired trackers to predict component failures before they occur. The system schedules maintenance alerts based on actual usage patterns rather than fixed intervals, reducing downtime.
AI enhances geofencing with behavioural context — distinguishing between a vehicle legitimately parked at a delivery point versus unauthorised deviation. False alerts are reduced by 60% through adaptive geofence modelling that learns normal operating patterns per asset.
InoTrack has been deployed across three client organisations with over 500 active tracker units. A logistics client reported a 20% reduction in fuel costs within three months of implementing route optimisation, alongside a 30% decrease in accident rates attributed to the driver behaviour analysis system. The construction client recovered two stolen assets valued at over ZAR 400,000 using the real-time geofence alerts. The platform's flexible deployment model allowed a security company to host the entire system on their own infrastructure for data sovereignty compliance, while SaaS clients benefit from 99.5% platform uptime.
Custom hardware design, firmware development, and real-time device communication protocols.
Learn more →Cross-platform apps with GPS integration, offline support, and real-time location sharing.
Learn more →Real-time map-based dashboards with geospatial queries, route playback, and analytics visualisation.
Learn more →Route optimisation, predictive maintenance, and behavioural analytics using machine learning.
Learn more →Track vehicles, assets, and personnel with a platform built for South African conditions — hosted or on your own servers.
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