The AI Challenges Manufacturing
By leveraging AI technology, manufacturers can now streamline processes and optimize costs. However, despite significant data advancements in the last five years, AI solutions still require attention to transition from proof of concept (PoC) to production. A solid foundation and data best practices are crucial for maximizing AI's benefits and delivering tangible results.
82% of manufacturing executives mentioned data-related issues as a crucial factor that could risk their company's future success with AI.
MIT Technology Review Insights
82%
Demand Forecasting
Precise Predictions for Manufacturing Efficiency
In manufacturing and warehouses, inaccurate forecasting leads to significant margin loss and potential production delays. Upgrade from basic predictive methods to adaptable and resilient production planning to decrease under-or over-supply. Our expertise combines historical production or sales data with diverse sources such as supply chain logistics, material availability, and production efficiency, enabling precise predictions accounting for industry-specific cycles, technological advancements, and regulatory changes.
Predictive maintenance
Preventing Downtime, Boosting Efficiency
Predictive maintenance based on IIoT helps you avoid spending time putting out (metaphorical, we hope) fires. Prevent costly downtime and proactively manage your assets by leveraging on-premise and cloud computing to extend maintenance scheduling. By assessing industrial equipment conditions predictively, you can forecast machinery issues, enhance efficiency, and improve safety.