Proven Results in Cloud, IoT, AI & App Development
Real-world impact delivering secure cloud platforms, connected IoT products, intelligent AI, and seamless mobile apps for hospitality and enterprise clients.
🏭 AI-Powered Inventory IaaS – Smart Liquor Management Transformation
Our AI-Powered Inventory-as-a-Service (IaaS) solution, developed for a leading hospitality technology provider, uses intelligent weight sensors that trigger RFID identification when bottle weight changes are detected. This smart IoT approach combined with AI and cloud computing revolutionizes liquor inventory management for hospitality venues with real-time tracking, automated decision-making, and predictive insights—accessible via mobile and web platforms.
⚠️ Challenge
- Manual inventory counts are time-consuming and expensive
- Human error leads to inaccurate stock levels
- Over/understocking affects profitability
- Limited visibility into product performance
🎯 Approach
- Deploy weight sensors to monitor bottle usage continuously
- Trigger RFID reading when weight threshold detected
- Leverage AI/GenAI for demand forecasting
- Integrate POS systems for holistic insights
- Provide intuitive mobile and web interfaces
✅ Solution
- Weight sensors monitor bottles; threshold triggers RFID scan
- RFID identifies bottle, weight data measures usage
- Combined data streams to cloud for real-time tracking
- AI engine processes data for demand projections
- GenAI enables natural language queries
- Automated restocking and par adjustments
⭐ Benefits
- Reduced inventory costs via automation
- Improved customer satisfaction
- Data-driven stocking decisions
- Increased profitability
- Streamlined supply chain
🛠️ Technology Stack
- IoT: Weight sensors + RFID readers for bottle tracking
- Cloud: Azure IoT Hub for data ingestion & processing
- AI: ML and GenAI for forecasting & insights
- Apps: Real-time dashboards & mobile tools
- Stack: Python, React, C#, .NET Core, Node.js, Swift, Kotlin, Azure IoT & AI
Application Workflow: How Data Flows
Watch data flow: 📡 IoT Sensors → ☁️ Cloud → 🤖 AI Processing → 🧠 GenAI → 📱 Mobile App
1. IoT Sensors
Weight sensors + RFID readers continuously monitor bottles. When weight change exceeds threshold, RFID reader identifies the bottle
2. Cloud Ingestion
Data streams to Azure IoT Hub for secure processing and storage
3. AI Processing
Machine learning models analyze patterns and generate predictions
4. GenAI Insights
Natural language queries and smart recommendations for business decisions
5. User Interface
Real-time dashboards, alerts, and reports on mobile & web apps
🔄 Data Flow Architecture Details
Technical Architecture Overview
- Weight Sensors (ESP32)
- RFID Readers (Triggered)
- BLE/WiFi Gateway
- Edge Computing
- Threshold Detection
- Azure IoT Hub
- Event Processing
- Time-Series DB
- Blob Storage
- ML Models (Python)
- Azure AI Services
- GenAI Integration
- Forecasting Engine
- Web App (React)
- Mobile (Swift/Kotlin)
- REST APIs (.NET Core)
- Real-time Dashboard
☁️ Cloud-Native Hospitality Management Platform
A leading hospitality group operating 30+ venues needed a unified cloud platform to centralise operations, staff scheduling, and real-time reporting across all sites. IONUBE designed and delivered a scalable Azure-based SaaS platform that eliminated data silos and gave management instant visibility across the entire estate.
⚠️ Challenge
- 30+ venues running disconnected legacy systems
- No centralised reporting — decisions made on stale spreadsheet data
- Manual staff rostering causing payroll errors and overspend
- Compliance and audit trails difficult to produce
🎯 Approach
- Design multi-tenant Azure cloud architecture from the ground up
- Migrate each venue onto a shared platform with data isolation
- Integrate existing POS and payroll systems via REST APIs
- Build role-based dashboards for managers and head-office executives
- Implement automated alerting and anomaly detection
✅ Solution
- Multi-tenant Azure App Service with per-venue data partitioning
- Real-time event streaming via Azure Event Hubs
- Unified dashboard built in React with live KPIs per venue
- Automated staff scheduling engine reducing rostering time by 70%
- Audit-ready reporting with full data lineage
- CI/CD pipeline with automated testing and zero-downtime deploys
⭐ Benefits
- 40% reduction in operational reporting time
- Payroll accuracy improved — fewer disputes and corrections
- Executives gained real-time cross-venue visibility
- Platform scaled to onboard 5 new venues within 3 months
- Compliance audit time cut from days to hours
🛠️ Technology Stack
- Cloud: Azure App Service, Azure SQL, Event Hubs, Blob Storage
- Backend: C# .NET Core microservices, REST APIs
- Frontend: React, TypeScript, real-time SignalR dashboards
- DevOps: Terraform IaC, GitHub Actions CI/CD, Azure Monitor
- Security: Azure AD B2C, RBAC, TLS everywhere, GDPR-compliant data handling
Platform Workflow: From Venue to Executive Dashboard
Data flows: 🏪 Venue POS → ☁️ Event Hub → 🔄 Processing → 📊 Analytics → 📱 Dashboard
1. Venue Systems
POS terminals, payroll and scheduling inputs captured in real time
2. Event Hub
Azure Event Hubs ingest high-volume streams from all venues simultaneously
3. Processing
Stream processing normalises, validates and enriches data per tenant
4. Analytics
KPI calculations, anomaly detection and scheduled reports generated
5. Dashboard
Role-based live dashboards accessible on web and mobile
Technical Architecture Overview
- Azure App Service (multi-tenant)
- Azure SQL (per-tenant schemas)
- Azure Event Hubs
- Azure Blob Storage
- C# .NET Core APIs
- Microservices architecture
- SignalR real-time layer
- Scheduler & alerting engine
- React + TypeScript
- Role-based dashboards
- Live KPI widgets
- Mobile-responsive PWA
- Terraform IaC
- GitHub Actions CI/CD
- Azure AD B2C (RBAC)
- Azure Monitor & Alerts
📱 Mobile Field Service App – IoT Device Management on the Go
A national IoT infrastructure provider needed field engineers to commission, diagnose, and update thousands of edge devices without returning to the office. IONUBE built a cross-platform mobile app giving technicians full device control, offline capability, and real-time sync to the cloud backend — slashing on-site resolution time by over 60%.
⚠️ Challenge
- Field technicians relied on paper checklists and phone calls to HQ
- No offline capability — remote sites had poor connectivity
- Device firmware updates required physical laptop connections
- Fault reports took days to reach engineers; resolution was slow
🎯 Approach
- Conduct field research with technicians to map real-world workflows
- Design offline-first architecture with background cloud sync
- Integrate BLE and WiFi-Direct for proximity device communication
- Build push notification system for real-time fault alerts
- Implement OTA firmware distribution pipeline via mobile
✅ Solution
- Cross-platform app (iOS & Android) built with React Native
- Offline-first SQLite cache synced to Azure backend on reconnect
- BLE scanner to discover and pair with nearby IoT devices
- In-app OTA firmware push with progress tracking
- Guided commissioning checklists with digital sign-off
- Real-time fault dashboard and push notifications via Azure Notification Hubs
⭐ Benefits
- Mean time to resolution dropped by 62%
- Paper-based checklists fully eliminated
- OTA firmware updates reduced truck rolls by 45%
- First-visit fix rate improved from 58% to 89%
- Real-time visibility of all field activity for operations team
🛠️ Technology Stack
- Mobile: React Native (iOS & Android), SQLite offline storage
- Connectivity: BLE, WiFi-Direct for device proximity pairing
- Cloud: Azure IoT Hub, Azure Notification Hubs, Blob Storage
- Backend: Node.js APIs, Azure Functions for event-driven triggers
- DevOps: Fastlane for mobile CI/CD, GitHub Actions, Azure Monitor
App Workflow: Field Engineer to Cloud
End-to-end flow: 👷 Technician → 📱 Mobile App → 📡 BLE/WiFi → ☁️ Azure → 📊 Operations
1. Field Engineer
Opens app, receives assigned job with device location and fault details
2. Mobile App
Scans nearby devices via BLE; loads guided checklist — works fully offline
3. Device Comms
Pushes firmware update or configuration directly to the IoT device via BLE/WiFi-Direct
4. Cloud Sync
Job completion, device telemetry, and photos sync to Azure when connectivity restored
5. Operations
Live dashboard shows all jobs, device health, and engineer locations in real time
Technical Architecture Overview
- React Native (iOS & Android)
- SQLite offline cache
- BLE & WiFi-Direct SDK
- Background sync service
- BLE / WiFi-Direct pairing
- OTA firmware push
- Configuration injection
- Live diagnostics read
- Azure IoT Hub
- Azure Functions (triggers)
- Node.js REST APIs
- Blob Storage (photos, logs)
- Azure Notification Hubs
- Real-time ops dashboard
- Fastlane mobile CI/CD
- Azure Monitor & Alerts