Iotellect - Business Intelligence

Solution Group

Industry

Industrial Enterprise Management

Manufacturing

PoC Duration

Iotellect Match

3-15 days

AI powered Low Code IoT/IIoT Platform

Capitalize on the benefits of a BI solution backed by your IoT-enabled business to improve decision-making with real-time data, enhance operational efficiency, and reduce costs through predictive maintenance and process optimization. Develop your own service for manufacturing performance, supply chain visibility, quality control, regulatory compliance, and much more. Enhance demand forecasting, energy management, customer satisfaction, and other verges of business while facilitating performance tracking and increasing collaboration across teams.

Iotellect is a low code IoT/IIoT development platform. It does not work as an out-of-the-box solution or product. Instead, it helps you to monetize your IoT know-how by dramatically lowering labor costs and cutting time-to-market for your product, service, or solution. It allows business-oriented IoT professionals to join the development process by converting their IoT market knowledge directly into product features and specific value delivered to your end customers.

Build Your IoT Application

Connect Your

BI Data Sources

Smart devices and equipment

Third-party monitoring and control systems

Industrial data lakes

Industrial and facility automation platforms

Enterprise Service Bus (EBS)

Corporate databases

Data warehouses

Electronic spreadsheets

Financial systems

Marketing and social media platforms

Web services and APIs

Document management software

ETL tools

Connect Devices

Connectivity & Management

Support for real-time data streaming from machines and devices, allowing for immediate analysis and decision-making
Compatibility of common industrial protocols like OPC UA, Modbus, MQTT, and PROFINET, ensuring seamless data exchange between different devices and systems
Cloud integration for storing, processing, and analyzing large volumes of data, providing scalability and remote access to BI tools
Implementation of data governance policies to ensure data accuracy, consistency, and reliability across the platform
Connection with CMMS to track equipment maintenance schedules, work orders, and historical maintenance data, supporting predictive maintenance strategies

Integration

Low code integration with Supply Chain Management (SCM) systems
Low code integration with Computerized Maintenance Management Systems (CMMS)
Low code integration with Energy Management Systems (EMS)
Low code integration with Customer Relationship Management (CRM) systems
Low code integration with Product Lifecycle Management (PLM) systems
Low code integration with Enterprise Resource Planning (ERP) systems
Low code integration with SCADA systems
Low code integration with Manufacturing Execution Systems (MES)
Low code integration with Quality Management Systems (QMS)
Low code integration with Human Resources Management Systems (HRMS)

Analytics

Analysis of real-time and historical production data to monitor key metrics such as Overall Equipment Effectiveness (OEE), cycle times, and throughput rates, helping identify bottlenecks and optimize production processes
Usage of machine learning algorithms and historical data from sensors and equipment to predict potential failures, enabling proactive maintenance scheduling to minimize downtime and extend equipment lifespan
Analysis of quality data, such as defect rates, yield rates, and process deviations, to identify root causes of quality issues and suggest improvements, reducing scrap and rework
Insights for inventory levels, lead times, and supplier performance, optimizing inventory management and reducing carrying costs by balancing supply with production demand
Monitoring of energy usage across machines and processes, identifying energy-intensive operations and suggesting optimizations to reduce costs and improve sustainability
Evaluation of machine and labor utilization rates to identify underused resources, enabling better capacity planning and more efficient allocation of assets and workforce
Analysis of various production stages to identify inefficiencies and variations, providing recommendations for process improvements and lean manufacturing practices
Categorization of downtime events to understand their frequency and duration, providing insights into causes and enabling strategies to minimize unplanned downtime
Utilization of real-time data analytics to detect anomalies in production parameters or equipment behavior, alerting operators to potential issues before they escalate into major problems
Evaluation of supplier reliability, quality, and delivery performance, supporting better supplier management and risk mitigation strategies
Simulation of changes in production parameters or market conditions and assess their impact on operations and profitability

UI/UX

Real-time visualization of data charts, graphs, and heat maps to monitor live production data, identify trends, and respond swiftly to any anomalies or issues on the shop floor
Availability of drill-down functionality to move from high-level overviews to detailed data, allowing users to investigate specific areas of interest, such as a particular machine's performance or a specific shift’s output
Featuring of drag-and-drop UI to easily create and modify reports, dashboards, and data models without needing extensive technical knowledge, enhancing user engagement and ease of use
Customization of the UI according to user roles (e.g., production manager, quality control, maintenance), displaying relevant data and controls tailored to each role’s responsibilities and information needs
Replay of historical data trends and events within the UI to analyze past performance, understand root causes of issues, and identify opportunities for improvement
Usage across multiple monitors or large displays in control rooms, providing a comprehensive view of plant operations for real-time monitoring and management

Key Features for Your
Business Intelligence Solution

Smart Manufacturing

Related Demos

Optimize your manufacturing with real-time insights and data-driven tools. Track performance, reduce downtime, and improve efficiency across all operations with detailed analytics, visualizations, and predictive maintenance.

Get comprehensive views of production statistics, tracking top products, component output, factory performance, and trends over time, all visualized beautifully in web dashboards.

Customers and Partners

System Integrators
Original Device Manufacturers
Independent Software Vendors
Engineering Companies
Small and Medium Businesses
Industrial Companies
Consulting Companies

Solution Users and Developers

Dedicated low code developers
Business and system analysts
Industrial automation specialists
BI professionals
Business process managers

Customer success team

Community

Online training

Business Intelligence