Classifying products manually is prone to error. Similarly using simple LLM chat bots can result in incorrect outputs. Muir’s platform uses advanced data processing and AI techniques to map raw product descriptions directly to the most accurate 10-digit HTS codes. The engine cross-references historical customs rulings and technical specifications to minimize misclassification risks, while providing an iterable review process for human-in-the-loop verification.

Yes. A true should-cost model must include the landed cost. Muir's models consider all relevant US import tariffs, including base rates, and Section 112, 232, and 301 tariffs. The AI also runs assessments on potential tariff stacking and the implications of specific material input

Absolutely. Advanced platforms don't just classify; they recommend. Muir analyzes your current sourcing footprint and identifies alternative countries of origin to optimize landed costs. Users can also run "what-if" scenarios to test material substitutions that could qualify products for lower duty rates.

A Synthetic BoM is an AI-generated approximation of a product's material makeup and manufacturing processes, used when primary supplier data is missing or incomplete. Muir’s BoM engine is built on our proprietary materials and manufacturing dataset. Combined with AI search, it takes simple procurement data (product name, mass, and supplier) and reconstructs the likely material composition for a product. This allows engineers and supply chain teams to instantly analyze thousands of SKUs without waiting for vendor quotes.

Yes. Enterprise AI tools must ensure your data is never used to train public models. Muir employs enterprise-grade security, including SOC 2 Type II compliance and data encryption at rest and in transit. Your proprietary data remains completely siloed and accessible only to your authorized users.

Yes, Muir offers API-based integrations and bulk-upload capabilities that ingest data directly from your existing ERP or PLM systems. Because our AI is highly flexible, it eliminates the need for manual data cleaning and can easily handle obscure part numbers, messy data, or incomplete BoMs.

While AI automates heavy data processing, "Human-in-the-Loop" ensures accuracy by keeping subject matter experts in control. Muir believes in transparent AI; every classification, footprint, or cost model we generate includes the underlying logic and source data. This allows your cost engineers or sustainability professionals to verify, override, or fine-tune results. Refinements are then stored so your organization can reference the updates in the future.

Don't worry, we have all been there! For those struggling to say Muir, it rhymes with pure.