How can fashion brands use AI scenario planning for tariffs and sourcing in 2026?

KEY TAKEAWAYS Summary by the editors

1. AI scenario planning helps fashion brands model landed costs, margins and lead times under different tariff and sourcing assumptions, so decisions can be compared quickly as rules change.
2. In February 2026, the US Supreme Court held in Learning Resources Inc. v. Trump that IEEPA does not give the president power to impose tariffs, after which a global tariff under Section 122 of the Trade Act of 1974 was announced.
3. FashionUnited reported in July 2026 that US imports of apparel from India fell 28.7 percent and from Bangladesh 16.4 percent year on year, while imports from Vietnam rose 5 percent, citing OTEXA data.
4. McKinsey's State of Fashion 2026 finds tariffs are the top-cited hurdle for fashion executives, and 46 percent expect industry conditions to worsen in 2026.
5. AI cannot forecast trade policy; its value lies in fast, transparent comparison of scenarios built on accurate product, origin and cost data.

AI scenario planning lets fashion brands calculate how different tariff rates, origins and suppliers would change landed costs, margins and lead times across their assortment, and compare options in hours rather than weeks. In 2026, with US tariff rules reshaped by a Supreme Court ruling and new measures, this speed matters. AI cannot predict the next policy change, so its value lies in preparing transparent, data-based options for decision-makers.

What changed in US tariffs in 2026?

According to the University of Miami Business Law Review, the US Supreme Court ruled in February 2026 in Learning Resources Inc. v. Trump that the International Emergency Economic Powers Act (IEEPA) does not give the president authority to impose tariffs. The administration then announced a global tariff under Section 122 of the Trade Act of 1974, which is limited to 150 days. The article notes that many importers may need to go to the Court of International Trade to seek refunds of IEEPA duties paid, and that reimbursement did not appear imminent.

FashionUnited's July 2026 overview describes a layered picture for apparel: Vietnam moved from a previous IEEPA rate of 46 percent to a flat 10 percent Section 122 surcharge on top of standard duties; a US agreement with Bangladesh set a headline reciprocal rate of 19 percent that can fall to zero only where US cotton or man-made fibres are used; and a Section 301 investigation into forced labour threatens additional duties of 10 to 12.5 percent on countries judged to police supply chains poorly. Transshipment penalties of up to 40 percent can apply where Chinese inputs are found in Vietnamese garments.

How are sourcing flows shifting?

FashionUnited, citing US OTEXA data, reports year-on-year changes in US apparel imports of minus 28.7 percent from India, minus 16.4 percent from Bangladesh and plus 5 percent from Vietnam. It also reports that Vietnam's textile and garment exports rose 1.7 percent to 22.2 billion dollars in the first half of 2026 according to the Vietnam Textile and Apparel Association, and that a Reuters report quoted Pallab Banerjee of Indian manufacturer Pearl Global saying customers were asking to move production out of India. The Miami Business Law Review mentions Gokaldas Exports exploring production hubs in Kenya and Ethiopia.

McKinsey's State of Fashion 2026, published in November 2025, names tariffs as the top-cited hurdle for executives and reports that brands are responding with pricing changes, sourcing shifts and efficiency gains, while larger suppliers pursue footprint optimisation, digitisation and automation.

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What does AI scenario planning actually do?

Language models help with the unstructured parts: reading trade notices, summarising rule changes and suggesting classifications for review by customs experts. Optimisation and simulation models do the numerical work, testing combinations of suppliers and origins against cost, capacity and lead time constraints.

The output should not be a single recommendation but a set of comparable options, each with its assumptions stated. For example, a brand might compare keeping a knitwear programme where it is and absorbing higher duties, splitting it across two countries, or shifting it entirely and accepting a longer ramp-up. Showing margin, retail price and lead time effects for each option lets commercial, sourcing and finance teams debate trade-offs on the same numbers. For wholesale brands, scenarios also need to reflect price agreements with retail partners and the timing of order books, since cost changes after confirmation may not be recoverable.

Which scenarios should a fashion brand model?

• Current rates continue, with Section 122 measures extended or replaced by other legal instruments.
• Higher rates for specific countries following trade investigations.
• Stricter enforcement of origin and transshipment rules on inputs.
• Refunds of past duties, and their effect on cash and pricing.
• Shifting a share of production to alternative countries, including the cost of qualifying new suppliers.

What are the limits of AI for tariff planning?

The first limit is unpredictability. AI models learn from the past and cannot forecast political decisions. The second is data: if bills of materials, supplier tiers and HS codes are incomplete, scenario results will be wrong in ways that are hard to spot. The third is the cost of moving: relocating production involves quality risks, ramp-up time, compliance checks and relationships, which simple cost models underweight. Human impact matters too; FashionUnited cites reports of job losses and wage pressure in exporting countries, which responsible sourcing decisions need to consider.

How should brands organise tariff scenario planning?

1. Build a clean product and origin data set, including HS codes and key input origins per style.
2. Create a landed cost model that sourcing, finance and commercial teams all trust.
3. Use AI to monitor trade announcements and summarise changes for a small expert team.
4. Run scenarios monthly, or immediately after major policy changes, and record decisions.
5. Agree trigger points in advance, for example the tariff level at which a category moves origin.
6. Coordinate with suppliers early, since capacity in alternative countries is limited.

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AI for sourcing and supply chain managers in fashion

What is the bottom line?

Tariff policy will remain uncertain through 2026. Brands that can answer quickly what a change means for each style, market and margin have more options, from pricing to reallocation of orders. AI makes that analysis faster, but the quality of the underlying product, origin and cost data decides whether its answers can be trusted.

Frequently asked questions

What did the Supreme Court decide on tariffs in 2026?

In Learning Resources Inc. v. Trump, decided in February 2026, the Court held that IEEPA does not give the president power to impose tariffs. A global tariff under Section 122 of the Trade Act of 1974 was then announced, limited to 150 days.

Which countries are gaining apparel orders because of tariffs?

FashionUnited, citing OTEXA data, reported in July 2026 that US apparel imports from Vietnam rose 5 percent year on year, while imports from India and Bangladesh fell. Patterns continue to change as rates and rules shift.

Can AI predict tariff changes?

No. AI can monitor announcements, summarise rule changes and calculate the effect of different scenarios, but political decisions cannot be reliably forecast from past data.

What data do I need for tariff scenario planning?

You need accurate HS codes, product compositions, origin of main inputs, supplier quotes, freight costs and current tariff tables, linked to sales plans and margins by style.

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