4 fashion supply chain trends to watch in 2026

Core Insights - The fashion industry is facing significant uncertainties due to U.S. trade policies, particularly regarding tariffs and trade agreements, which are expected to impact sourcing and operational costs in 2026 [4][6][13]. Trade Agreements and Policies - The United States-Mexico-Canada Agreement (USMCA) is set for a review process in 2026, which may lead to renegotiations or new bilateral trade deals under the Trump administration [2][3]. - The expiration of the African Growth and Opportunity Act and the Haiti HELP/HOPE program in September 2025 raises concerns about their renewal and the implications for U.S. apparel sourcing from these regions [1][8]. Industry Sentiment and Expectations - A McKinsey survey indicates that 40% of fashion executives view disruptive U.S. trade policy as a top risk, an increase from 25% the previous year [4]. - Despite challenges, 25% of fashion leaders believe industry conditions will improve in 2026, up from 20% the prior year [5]. Tariff Impacts - 76% of fashion executives anticipate that higher tariffs and trade disruptions will shape the industry in 2026, with expected short-term sourcing price increases of 35% for apparel and 37% for leather goods due to tariffs [13][19]. - The Supreme Court's decision regarding Trump's tariff imposition methods could introduce further uncertainty, potentially leading to tariff refunds for U.S. importers [15][16]. Cost Management Strategies - Fashion brands are prioritizing cost management and sourcing cost control, with 45% of executives indicating that sourcing costs are under the most pressure [19][21]. - Companies are diversifying their supply chains to mitigate risks associated with tariffs, with many seeking vendors that offer speed-to-market and flexibility [22][24]. Technological Advancements - The use of artificial intelligence (AI) in sourcing, logistics, and inventory management is expected to rise, helping brands optimize operations and enhance supply chain traceability [27][30]. - AI tools may facilitate better inventory management and operational efficiency, supporting the industry's shift towards a more digitalized sourcing process [28][31].