Predictive Analytics for Manufacturing

Seebo Process-Based Predictive Analytics utilizes machine learning to
power predictive maintenance and predictive quality

Get Demo

Predictive Analytics for Manufacturing

Seebo Process-Based Predictive Analytics utilize machine learning to power predictive maintenance and predictive quality

Get Demo

Translate data into predictive insights – without data scientists

Applying industrial predictive analytics is usually complex and necessitates data specialists. Seebo Digital Twin Model fuses your production processes, data flows, and your OT and IT data into machine learning – without requiring you to master data science.

Users design a digital twin Model of their production line. Advanced data analytics are then applied in the context of the Model, to provide meaningful insights that are context specific – accounting for the production flows, raw materials, and products being manufactured.

The result: a virtual map of your production line that contextualizes predictive alerts, events, and historical data, with unmatched accuracy.

Anticipate and prevent failure before it happens

Unsupervised machine learning tools such as clustering and artificial neural networks are applied to historical data on machine failure, repairs, operating conditions and maintenance requirements.

These systems run algorithms to spot related events and predict numerous outcomes, resulting in automated recommendations on everything from fault lines in the production process to breakdowns of individual machine parts.

Predicting when an asset will fail, and the reason for that failure, enables operators to increase uptime and prevent costly quality defects.

Predictive Analytics accessible to manufacturing teams on the ground

Seebo Industrial Predictive Analytics provides simple and accurate forecasting for operational teams.

Users across the factory access customized dashboards, displaying role-specific alerts and overviews about predicted quality and production events.

By engaging with relevant predictive analytics in a user-friendly format, everyone from decision-makers to the teams on the factory floor can make more informed decisions and improve efficiency across the production process.