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Predictive Maintenance (for Supply Chain)

Predicting supply chain machine failure before it happens to avoid downtime and reduce maintenance costs (e.g. trucks, vessels, airplanes). AI can also recommend optimal time for intervention and best actions to avoid failures

Business Impact: reduce down time for vehicle and machines, improve safety, decrease spent time on unplanned maintenance, increase customer and driver satisfaction.

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2. Know More

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Deeper Intro

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Business Focused

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Data Sets

Data Sets you can use to build Demos, POCs, or test Algorithms

AI4I 2020 Predictive Maintenance Dataset (UCI)

Since real predictive maintenance datasets are generally difficult to obtain and in particular difficult to publish, we present and provide a synthetic dataset that reflects real predictive maintenance encountered in the industry to the best of our knowledge.

Turbofan engine degradation simulation data set

Run-to-failure data: Engine degradation simulation was carried out using C-MAPSS tool. Four different sets were simulated under different combinations of operational conditions and fault modes. Several sensor channels were recorded to characterize fault evolution


Off-the-Shelf Products using AI for Supply Chain Predictive Maintenance

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  • 25%- Asset Downtime