The Complete How-to-Guide to Your Digital Transformation with ERP
Embed digitalization, automation and ‘smart’ connected networks into every part of your manufacturing operations with SYSPRO ERP and unleash the power of industry 4.0.
With the introduction of digital and embracing new message streams from digital, a new approach to making sense of all this data is needed. Artificial Intelligence and Machine Learning (the engine behind AI) gives computers the ability to make sense of and learn from data to perform specific tasks without manual interference. It provides analysis and insights to users, addressing the large amounts of structured and unstructured business and industry data that companies increasingly need to consider as part of their decision-making process.
By integrating artificial intelligence technology with SYSPRO enterprise resource planning (ERP) manufacturers can leverage AI technology to identify potential downtime and accidents by analyzing the sensor data. AI systems help manufacturers forecast when or if functional equipment will fail so its maintenance and repair can be scheduled before the failure occurs.
Use historical data to predict the future. Examples from a seasonal perspective we can predict when a customer might purchase a particular product. Or use historical data to predict when a customer might default on payments based on past behavior.
This is where our AI engine listens to operator activity. This is typically used to capture fraudulent transactions or even incorrect key strokes. As an example, Joe Blogs ordinarily captures 10 sales orders with an average value of $7000. On one day Joe Blogs captures a sales order for $100000. The AI engine will flag this transaction as an anomaly for someone in the organization who can determine whether this is valid or fraudulent.
Used currently by the Autonomous car to detect objects. With SYSPRO ERP, this capability can assist with health and safety regulations on the factory floor, for quality assurance. For example, using facial recognition to detect who is authorized to use machines or forklifts; or taking pictures of products as they come off the production line to provide real-time quality checks.