Real-world AI and IoT cases delivered by ZedIoT
These projects show how connected equipment, AI workflows, industrial monitoring, cold chain operations, smart hardware, and warehouse automation move from a field problem into a working operating system.
Published case: lower energy use and unified operations across a large multi-store estate
Read the full caseEach case is evaluated around the device, user workflow, data quality, integration systems, and site risks.
The goal is not only a model or a dashboard, but a working loop between devices, software, operators, and business systems.
Experience from gateway, platform, voice, vision, cold chain, and tracking projects helps new pilots avoid avoidable mistakes.
What was built, which operating problem it solved, and what changed
These are case-study entries, not generic capability cards. Each one links to the detailed project context, implementation path, and published outcome while protecting information that remains confidential.
Tuya SDK integration for an outdoor smart home system
A branded app and mixed-protocol gateway path for distributed outdoor devicesTuya App SDK, gateway, RS485, LoRa, 4G, Wi-Fi, and BLE were planned as one product and site workflow instead of isolated integrations.
- Tuya SDK
- IoT gateway
- Outdoor devices
Beverage cooler IoT monitoring for a refrigeration OEM
Local controller reliability with remote alarms, fleet records, and service visibilityController signals, sensors, gateway connectivity, device models, alerts, and support evidence were connected without replacing local refrigeration control.
- Refrigeration
- Controller
- Remote monitoring
Custom industrial gas detection SaaS platform
Live alerts in under three seconds and faster response to field safety eventsLegacy detectors connect to a multi-tenant platform for real-time alarms, zone status, equipment health, and traceable response workflows.
- Gas detection
- SaaS platform
- Real-time alerts
Resistive sensor array for precision equipment
Lower calibration error with a six-week hardware and software delivery cycleThe project combines sensor-array hardware, acquisition electronics, calibration logic, visualization, and production equipment integration.
- Sensor array
- Calibration
- PCBA
Smart commercial kitchen weighing system
More accurate portioning through integrated PCB, algorithm, and data uploadA connected weighing workflow links target weight, live measurement, operator feedback, device control, and cloud records for foodservice operations.
- Smart scale
- Embedded UI
- Cloud data
Environmental monitoring for remote stations
Immediate leakage and temperature alerts with cloud-based station visibilityField sensors, gateways, dashboards, and notification rules give maintenance teams a clearer view of distributed station conditions.
- Environment
- Remote stations
- Alerts
Emergency broadcast control for schools
Real-time alerts and remote broadcast control across distributed regionsA Docker-based control system connects broadcast endpoints, event status, remote commands, and operating records for emergency response teams.
- Emergency response
- Remote control
- Docker
Fire alarm SaaS platform for industrial facilities
Multi-zone alarms and cloud visibility for legacy fire-detection equipmentThe solution connects existing detectors to a scalable SaaS platform for site status, alarm routing, equipment health, and response records.
- Fire safety
- Legacy retrofit
- Multi-zone SaaS
Use the case library to choose the right starting point
Many AI + IoT projects fail because teams pick a technology before clarifying the operating workflow. We use case experience to decide whether the project should start from a device prototype, an edge gateway, a cloud platform, an AI workflow, or a focused pilot.
Remote monitoring, device registry, alarms, work orders, OTA, and operational dashboards.
AI vision workflowRecognition, barcode scanning, inventory evidence, exception review, and WMS or ERP updates.
Cold chain monitoringBeverage cabinets, fresh cabinets, low-temperature cabinets, cold rooms, alarms, and service workflows.
AI hardware retrofitCommunication modules, voice AI modules, ESP32-S3 bridges, TinyML, and smart-device upgrade paths.
AI + IoT work across industries and partner ecosystems
ZedIoT supports product teams, OEMs, integrators, and operations groups across industrial, logistics, retail, building, medical, agriculture, and smart-device scenarios.
Questions about ZedIoT case studies
Use the case library to compare project patterns, proof, and the most relevant next step for your own system.
Does ZedIoT publish customer names for every case?
No. Some AI + IoT work involves customer devices, private systems, or confidential workflows, so the case page focuses on project type, technical path, and business outcome.
Can a case be adapted to a new industry?
Yes. The starting point is usually the device behavior, data quality, operating workflow, integration system, and rollout risk rather than the industry label alone.
How should I choose the most relevant case path?
Start from the bottleneck: device monitoring, AI recognition, cold chain alarms, fleet tracking, smart hardware retrofit, or industrial protocol integration.
Have a similar AI + IoT project?
Share the device type, site workflow, user role, and current blocker. We can map your requirement to a reference architecture, pilot plan, or related ZedIoT service path.
- AI + IoT product architecture review
- Hardware, firmware, cloud, and application integration
- Prototype planning and production support