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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More detailed introduction covering business and technical aspects
Case studies, Organizational Aspects, Return on Investment examples
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Technical resources that will help you implement the use-case (notebooks, tutorials..)
Data Sets you can use to build Demos, POCs, or test Algorithms
Off-the-Shelf Products using AI for Supply Chain Predictive Maintenance
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