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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
  • Client
    Niagara Bottling
  • project
    Supply chain optimization and predictive maintenance for orders management fulfilment.
  • Category
    Sypply Chain
  • 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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