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Demand and capacity planning
Custom algorithms and business rules to predict customer demand for production scheduling and inventory planning.
Predictive maintenance
Continuously monitoring machines using sensors, and then using the data to predict failures and perform maintenance at the optimal time.
Yield optimisation and quality testing
Use AI and machine vision to identify defects (like poor ore grade quality or manufacturing defects) earlier and at a lower cost.
Back-office automation
Cognitive intelligence, optical character recognition and machine learning to transform unstructured data (invoices, photographs, forms and so on) into structured data.