AI-Powered Smart Manufacturing Solutions

Dot connects ERP, MES, PLM, SCM, and QMS tools to enhance efficiency, optimize operations, reduce downtime, and drive smart manufacturing solutions.

Let's Talk

Key Challenges in Manufacturing Industry

Integrating and analyzing data with ERP and MES systems for unified operations.

Predicting and preventing failures using IIoT and predictive analytics for maintenance.

Ensuring product quality with QMS tools and AI-driven defect detection.

Optimizing supply chains by integrating SCM solutions for better forecasting and inventory.

How Dot Addresses These Challenges

Integrating and analyzing data from IoT devices, supply chains, and production systems is essential for manufacturing. 

Integrates data from ERP, MES, and IoT systems for a unified view. 
Automate data analysis for real-time insights. 
Enables seamless communication between systems. 
Identify trends and anomalies with advanced AI models.

Preventing equipment failures is key to reducing downtime and costs.

Use AI agents to detect early signs of wear. 
Automate maintenance schedules with real-time data insights.
Reduce unplanned downtime with predictive analytics. 
Integrates with predictive analytics tools to enable smart manufacturing solutions.

Ensuring consistent product quality is crucial for maintaining customer satisfaction and reducing waste.

Automates quality inspections to detect defects in real-time.
Integrates with QMS solutions like SAP Quality Management and Arena QMS.
Reduces human error with AI-driven analysis.
Improves production efficiency while maintaining high standards.

Dot’s smart manufacturing solutions enhance defect detection and quality assurance with AI-driven automation.

Tracks demand shifts to optimize inventory and reduce overstock or shortages.
Integrates with tools like SAP IBP and Oracle SCM Cloud.
Provides end-to-end visibility across the supply chain.
Cuts costs by enabling dynamic adjustments based on live data and forecasts

QNB Finansbank has redefined banking services by integrating advanced AI technology into its operations. By leveraging Dot's all-in-one AI platform, QNB Finansbank overcame challenges in data processing, regulatory compliance, fraud detection, and customer personalization, transforming its operational efficiency and customer satisfaction.

53%

faster access to operational data across systems

37%

reduction in unplanned downtime through predictive alerts

45%

increase in supply chain forecasting accuracy

Unified Data Integration

Dot connects ERP, MES, and IoT platforms to centralize manufacturing data. Teams gain real-time insights across production, inventory, and supply chain operations, supporting faster and more informed decisions.

Predictive Maintenance Automation

By monitoring equipment performance and analyzing patterns, Dot detects early signs of failure and automates maintenance scheduling—helping reduce costs and keep production lines running.

Smarter Supply Chain Planning

Dot integrates with SCM platforms like SAP IBP and Oracle SCM Cloud to automate workflows, predict demand shifts, and improve visibility across the entire supply chain.

“Dot’s AI-powered solutions have revolutionized how we manage compliance, detect fraud, and serve our customers. The speed and accuracy we’ve gained are unmatched, helping us deliver on our promise of innovative and secure banking."

— QNB Finansbank Representative

Why Dot?

Dot unifies AI models, intelligent agents, and seamless app integrations into a single platform, enabling manufacturers to streamline production, optimize supply chains, and enhance quality control using smart manufacturing solutions.

Its no-code customization and built-in optimizations empower manufacturing companies to reduce downtime, improve efficiency, and make data-driven decisions.

Explore more about Novus

See all

This is some text inside of a div block.

Newsletter

Novus Newsletter: AI Highlights - May 2025

Google I/O’s 100 AI updates, Baidu’s animal translator, Duolingo backlash, and where the Novus team has been this month.

May 31, 2025