Zoho IoT for Manufacturing
Manufacturers are transforming from traditional setups into smart factories driven by data, AI, and automation. Zoho IoT helps accelerate this transformation by connecting machines, sensors, and enterprise systems to form a unified Industrial IoT platform.
Whether you operate in discrete manufacturing, such as automotive components and precision machinery or process manufacturing like beverages, chemicals, or consumer goods, Zoho IoT provides real-time insights into production efficiency, energy usage, and product quality.
With edge analytics, OEE monitoring, and seamless ERP/MES integration, you gain total visibility into every process reducing downtime, enhancing quality, and driving continuous improvement across the shop floor.
Features of IoT for Manufacturing
Machine Monitoring
Track equipment uptime, cycle time, and performance metrics in real-time for OEE improvement.
Traceability
Maintain end-to-end visibility of materials, components, and finished goods with genealogy reports.
Energy Optimization
Monitor plant-wide energy consumption, identify inefficiencies, and support sustainability goals.
Predictive Maintenance
Use AI-based models to anticipate failures and plan proactive maintenance.
Why Zoho IoT for Manufacturing?
For Production and Inventory Management
Gain real-time control over production flow, inventory levels, and work-in-progress (WIP) visibility. Integrate IoT data with ERP and MES systems for synchronized operations, improving material utilization and preventing production delays.
Shop floor Monitoring
Zoho IoT brings together all manufacturing data machine-level metrics, production KPIs, and quality insights into one centralized platform. This unified view empowers production teams to make faster, data-driven decisions while improving OEE, cycle time, and throughput.
Quality and Process Control
Integrate IoT sensors with quality control systems to ensure consistency and compliance. The platform continuously monitors parameters like temperature, vibration, and humidity to maintain process manufacturing quality standards. Automated genealogy reports make audits faster and more reliable.
For Maintenance and Reliability Teams
Enable predictive maintenance using AI-driven anomaly detection and sensor data analysis. Engineers can monitor vibration, current, and temperature trends to minimize unplanned downtime and extend asset lifespan. Reduce MTTR (Mean time to repair) and increase equipment reliability through timely alerts.
For Energy and Sustainability Management
Track energy optimization goals with real-time data from utilities, machines, and building systems. Identify inefficiencies in machines, compressors, and motors, and align operations with sustainability KPIs to reduce both energy costs and environmental impact.
Smart Factory Solutions - Use Cases
A leading beverage manufacturer
Zoho IoT empowers beverage manufacturers to maintain consistent product quality through real-time process monitoring. Temperature, carbonation, and filling line data feed into the IoT dashboard, ensuring precise control and traceability across batches. The system improves OEE and supports regulatory compliance with automated genealogy reports.
Wheels manufacturing facility
In discrete manufacturing, companies use Zoho IoT to track machine health, monitor OEE, and implement predictive maintenance across CNC and assembly lines. The platform’s edge analytics detect performance bottlenecks early, helping production teams increase throughput and minimize downtime.
Battery manufacturers
For battery and electronic manufacturers, Zoho IoT provides visibility into production quality, energy usage, and equipment reliability. With AI-based predictive analytics and energy monitoring, factories achieve higher uptime, reduced waste, and better control over quality outcomes across multiple plants.