How Major Roofing Manufacturer Leverages AI for Supply Chain Efficiency

Key Details GAF, one of North America's largest roofing manufacturers operating 30+ locations, is using AI-powered analytics to transform network optimization and supply chain planning. The company's operations research team shared insights at the Coupa Inspire 2026 conference in Las Vegas, revealing how artificial intelligence is reshaping their approach to logistics and distribution. Why It Matters AI tools are automating data engineering workflows and reducing reliance on IT departments for routine analytics tasks. This means supply chain teams can work faster and more independently, tackling inventory optimization, procurement classification, and scenario analysis without waiting for technical support. The Complexity Factor While AI excels at many tasks, network optimization requires building accurate digital twins of real supply chains. Creating these models demands more sophistication than basic automation, since they must balance precision with practicality. Practical Applications Coupa's Navi AI assistant acts like a junior modeler, helping analysts interpret network changes and identify operational bottlenecks. However, experts caution that some companies misuse AI in supply chain functions, so proper implementation is critical for maximizing value. Bottom Line For trucking and logistics professionals, understanding how shippers optimize their networks directly impacts freight demand, routing efficiency, and partnership opportunities in your region.