Supply Chain AI

Begin to ask questions of your supply chain data in natural language and get actionable insights in seconds

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AI-powered supply chain management solutions are potent instruments that help organizations address the increasing demand for agility, flexibility, resilience, cost-efficiency, and carbon neutrality.

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Supply Chain AI takes advantage of AI’s ability to analyze huge volumes of data, find and understand relationships, and gain insight for better decision-making.

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Supply Chain AI enables you to create powerful queries to help you uncover deep connections and patterns in supply chain data. By asking natural-language questions about your data, you can find out how your supply chain is being affected, to quickly circumnavigate potential bottlenecks.

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What Is Supply Chain AI and Why Does It Matter?

Supply Chain AI is an effective instrument that enables you to generate queries over an integrated pool of supply, customer, and production data, to mitigate supplier risks. By giving you the ability to query supply chain data using natural language questions, the solution is a potential game changer that can help you ascertain critical information on cause analysis in seconds, rather than waiting days for a report from your BI team.

  • Ask natural language questions and auto-build queries for results
  • Get rapid access to answers for your questions and queries
  • Integrate supply chain, sales, and production data for reports
  • Identify deep connections and relationships in data for cause analysis

How the Supply Chain AI Solution Works

What Technology Powers Supply Chain AI?

Supply Chain AI uses machine learning to automatically analyze and understand the meaning of and relationships among all types of supply chain data.

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Queries are graph-based, which ensures rapid retrieval of responses and provides a more seamless and intuitive experience for decision makers.

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Minimal infrastructure footprint helps your infrastructure remain robust while prioritizing efficiency, scalability, and cost-effectiveness.

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Solution is source-agnostic for data ingestion. Use any type of data, from a data lake or from a warehouse, hosted on-premises or in the cloud.

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Flexible modeling with no fixed schema enables you to avoid blueprints and rigid structures. You can model and query your data any way you want.

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With Supply Chain AI, you can quickly and easily model and evaluate any complex process in your supply chain. Take advantage of a timely impact analysis of changes in forecasting from supply chain data, to minimize and potentially avoid charges from suppliers — All done using natural language!

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