Machine learning software for direct material procurement

Shave 5% off your direct material costs

Datapred uses machine learning to deliver 3-5% savings on your direct material costs year over year and help you better understand the corresponding risks.

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Based on a powerful modeling engine

10x faster garage-to-factory cycle for continuous intelligence projects

Datapred’s modeling engine for continuous intelligence streamlines everything that is specific to machine learning for time series, at every stage of the machine learning pipeline.

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Other use cases

What is your decision management challenge?

Industrial and consulting companies are using Datapred to solve complex decision management challenges combining predictions and constraint optimization.

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Direct material procurement

Direct materials represent the bulk of direct costs for industrial companies. Yet most procurement teams rely on dated methods for deciding when and how much to buy...

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Modeling engine

Streaming data is colonizing every data set, and corporations are operating under ever-tighter time contraint. But generalist ML platforms and popular open-source ML libraries ignore the specificities of time series modeling...

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Modeling engine
Other continuous intelligence use cases

Other use cases

Discover how industrial and consulting companies are using Datapred for industrial optimization, demand prediction, inventory allocation...

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Features

  • Data sequentialization
  • Stationarization and filtering
  • Built-in models
  • Compatibility with ML libraries
  • Aggregation and stacking
  • Custom cost functions
  • Parallelization and distribution
  • Connectors
  • Graph structure
  • Performance monitoring
  • Checkpoints and backups
  • Continual improvement