US companies are using AI to help offset increased tariff costs (www.businessinsider.com)

As sweeping U.S. tariffs in 2025 raised import costs and injected uncertainty into global supply chains, companies from startups to manufacturers have turned to AI tools to shave procurement and logistics expenses. Examples include Solventum using Arkestro’s procurement platform—which blends machine learning, game-theory approaches and behavioral models—to evaluate suppliers, spot when vendors reshore production, speed competitive bidding, and secure double-digit reductions in goods costs. Small manufacturers like JR Metal Works use Xometry’s AI marketplace that analyzes part materials and manufacturing requirements to produce dynamic price quotes that automatically reflect tariff-driven material cost changes. On the logistics side, The Light Phone avoided double taxation by adding an international fulfillment center and adopting Mayple Global’s AI-powered e‑commerce tooling to auto-generate standardized product classification codes, invoices and customs documents—cutting costs by roughly 20% for international orders. For the AI/ML community this signals growing demand for domain-specific models that ingest policy signals (tariff rates), supplier behavior and technical specs to enable real-time pricing, supplier selection, and automated trade compliance. The result: measurable ROI from applied ML in procurement and logistics, new data requirements for robust models, and broader implications for supply-chain resilience and competitive dynamics in regulated trade environments.