Cloud Collaboration

Data Management

Construction Management

Project Delivery

Business Management

Software Development

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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.

Streamlining Material Tracking with AI and Data-Driven Decision Making

Industry Talk

Nashville

IT Manager

Programmer / SW Engineer

Technology Manager

Technology Management

CAD Management & IT

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Across the construction industry, with its project-oriented and multistakeholder nature, silos of disconnected, critical data sets stymie efforts for using technology that can drive optimal decision making and execution. As a result, many of today's sophisticated tools that address specific project phases, workflows, and stakeholder needs have been built to work in isolation. This reinforces the siloed data sets that prevent the industry from making big leaps in technology-driven value realization. Taking a practical, evolutionary approach to solving this is critical. And no, even generative AI cannot just magically solve this problem. As one of the largest general contractors in the country, DPR Construction has experienced firsthand the pain of siloed data sets. Through pilot projects and experimentation, several practical solutions have begun to surface, and sharing them may increase industry-wide scaling.

We Forgot to Break Down Silos (Again!): Connecting Construction Data Sets

San Diego

Across the construction industry, with its project-oriented and multistakeholder nature, silos of disconnected, critical data sets stymie efforts for using tech

AU Classes

Streamlining Material Tracking with AI and Data-Driven Decision Making

We Forgot to Break Down Silos (Again!): Connecting Construction Data Sets