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conode for Supply Chain Analytics

The core of conode’s technology revolves around fusing several datasets that may not necessarily speak to each other. This integration enables the extraction of insights that transcend individual data silos, treating them as a unified entity or a cohesive knowledge graph. conode is a versatile tool capable of fusing various supply chain datasets — whether for inventory optimization, managing faulty components in supplier relationships, or monitoring production line metrics at every stage — and predicting part and machinery failures for Quality Assurance purposes.



Example Workflows

Identifying High Risk Companies from the Company House Dataset

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Using the publicly available Company House Dataset we explore the fate of companies around the UK, identifying predictors of failure and then using these to cluster high-risk companies.

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Last update: 2024-10-31