Transforming Plastics Innovation
At Plastics.com, we’re revolutionizing material selection and procurement with our Generative Engineering Marketplace (GEM), powered by our cutting-edge Herman AI. Our technology simplifies the complex plastics supply chain, delivering transparency, efficiency, and sustainability for engineers, procurement teams, and manufacturers.
Generative Engineering Marketplace (GEM)
GEM is an AI-driven digital marketplace designed to streamline plastic selection and procurement. Built with deep engineering expertise, GEM guides you to the optimal materials for your project, saving time and ensuring confidence in every decision.
Why GEM Stands Out:
Streamlined Process: Eliminates bottlenecks by integrating material selection, design for manufacturing feedback, supplier sourcing, pricing, and procurement into one intuitive platform.
Production-Ready: Tailored for materials teams needing logistics beyond R&D, with seamless ERP/PLM integrations.
Specialized Solutions: Find high-tech, sustainable, or custom plastic formulations for industries like aerospace, medical, and packaging.
Data-Driven Precision: Access a comprehensive database of polymer properties, structured for domain-specific needs.
Herman AI: Your Plastics Expert
Meet Herman AI, our generative natural language model built specifically for the plastics industry. Chat with Herman to get instant answers on material properties, sourcing options, and sustainable alternatives.
What Makes Herman AI Unique:
Plastics-Focused: Custom algorithms trained on 15,000 datasheets, 20,000 technical pages, and 30,000 expert Q&As for unparalleled accuracy.
Comprehensive Insights: Integrates material properties, inventory, supplier data, processing methods, and sustainability metrics.
Logistics Built-In: Simplifies sourcing and procurement with real-time supplier connections.
Superior Performance: Outperforms general AI models in plastics-specific queries, based on internal benchmarks.
Rich Data Access: Dive into detailed datasheets, analytics, and testing methodologies on demand.