Project Details test test
Leading beverage manufacturer faced rising costs and inefficiencies due to complex supply chain management. They needed a solution to optimize order fulfilment, minimize downtime, minimize transportation expenses, and improve overall profitability. The project was a comprehensive data analytics strategy, focusing on supply chain optimization and predictive maintenance for orders management. rtertrtetertertertertt
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Client
Niagara Bottling
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project
Supply chain optimization and predictive maintenance for orders management fulfilment.
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Category
Sypply Chain
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Date
May, 2019
Our Training Tips.
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- The ability to explain a model after it has been developed
- Transparent model architectures and increasing how intuitive and understandable
- Sociological fairness in machine learning predictions
- Debugging and deploying ML models with similar counter-measures
- Making sure your AI systems meet the relevant regulatory requirements
Overview & Challenge
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About The Project
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