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Supply Chain Optimization with Causal AI

Use Causal AI to uncover the true causal structure behind the supply chain identifying the Root Cause of delays, recommending actions to mitigate delays, and empowering supply chain leaders to make decisions that will improve customer service while reducing costs. 

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Identify the Causes of Potential Delays

Today, the supply chain is a complex web of interactions between people, machines and systems. Delays within supply chains are costly and can have a significant impact on customer satisfaction and ultimately profitability. Minimizing delays across these networks is challenging

Each year billions of dollars are lost by organizations due to out of stock and unsellable items.

Prevent rather than predict delays

Traditional ML models focus on predicting the likelihood that a particular order will be delayed. However, these models are unable to explain why. As such, they are unable to recommend a course of action to reduce delays. 

With Causal AI you can maximize OTIF rates by focussing on delays which you are able to mitigate, ensuring goods are in the right place at the right time, minimizing lost revenue.

Causal AI utilizes all data and expertise within your organization

Causal AI learns from existing supply chain data while ensuring that expert knowledge, which may not be captured in the data, is incorporated into models. Supply chain experts can visualize the model’s causal graph, and work closely with data science teams to ensure it offers an accurate representation of the real world.

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Ask what-if questions, action recommendations

Discover the true root causes of delays  

Using this model of the world, supply chain leaders can:

  • Gather explanation as to why past orders were delayed
  • Understand actions they can take to reduce future delays ‘What actions do I need to take to increase OTIF rates to 95%?’
  • Directly action recommendations from the decisionApp by utilizing upstream and downstream connectivity

Learn more about how Causal AI is being used to optimize Supply Chains

Causal AI enables a complete root cause analysis of supply chains to provide organizations and their leaders with a clear understanding of what causes delays and recommends actions to improve on-time and in-full service levels.

  • Understanding the causal drivers behind demand is critical. causaLens enhances our supply chain visibility and empowers our domain experts to run powerful what-if analyses”

    Takashi Hiramatsu
    Senior Manager, MLCC planning department – Murata

Root Cause Analysis with Causal AI

Causal AI enables a complete root cause analysis of supply chains to provide organizations and their leaders with a clear understanding of what causes delays and recommends actions to improve on-time and in-full service levels.

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