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Streamlining Material Tracking with AI and Data-Driven Decision Making

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    Description

    In today’s fast-paced environment, visibility within the material supply chain is a necessity to maintain operational excellence and drive growth. Success in project delivery depends on materials arriving on time, surety of cost, and the meeting of schedule dates. Traditional methods are time-consuming and aren’t agile enough to capture real-world scenarios, such as field measurements, factory testing, or mock-up approvals. To address these challenges, we’ve paired project delivery best practices—developed through firsthand experience on real projects—with innovative software such as Build and ConstructivIQ to streamline material tracking and visualize the material supply chain. We’re using emerging artificial intelligence (AI) techniques to automate tasks, simplify processes that require human intervention, and support an equitable exchange of ideas through predictive analytics.

    Key Learnings

    • Learn how to automate workflows linking data from Build and P6, and create material lists from drawings and specs using AI.
    • Discover real project situations and best practices.
    • Learn about using AI to automate tasks and provide predictive analytics.
    • Learn about visualizing the material value stream and simplifying reporting for projects, regions, and enterprises.

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