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Predictive system

A predictive system is a device that leverages a company's historical data to anticipate future events: sales, breakdowns, churn, stock needs, user behaviour, etc.
It relies on Machine Learning models trained to identify patterns in the data, in order to produce reliable and actionable forecasts to aid decision-making.

Related Services

Predictive systems Artificial intelligence

Related Terms

Machine learning Deep learning Data Engineering

Predictive Systems in Practice

Typical Use Cases

  • Sales, demand, and production forecasting.
  • Churn detection - identify at-risk clients in advance.
  • Predictive maintenance - anticipate industrial breakdowns.
  • Logistics optimisation - routes, allocations, stocks.
  • Dynamic pricing.

How to Launch a Predictive Project

  • Precisely define what is being predicted and the success criterion.
  • Check the quality, volume, and freshness of the data.
  • Iterate - a well-posed simple model often beats a poorly-posed complex model.
  • Deployment to production - inference pipeline + drift monitoring.

Caveats

  • Causality ≠ correlation - a model can predict well without explaining anything.
  • Long-term maintenance - the world evolves, the model degrades.
  • Business adoption - the model must be understood and used by operational staff.

How Galadrim can support you

See our offering Predictive systems.

Client case studies in predictive systems

Turboself Vinci Construction OGF Group
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