Free report · AI in Apparel

How AI is reshaping the apparel operating model.

A boardroom perspective for leaders of vertically integrated brands. What is happening today at each step of the value chain, what the technology makes possible, and who is already doing it.

  • AI reviewed across 8 core commercial processes
  • Leading brand case reviews
  • A framework for impactful AI in apparel
  • A question list for leaders introspecting their AI strategy
Free PDF · 12 pages

Free report

How AI is reshaping the apparel operating model

Instant access. Unsubscribe anytime.

Page 2 of the AI in Apparel report. Where the value sits: eight decisions mapped to the P&L.
Page 2 Where the value sits: eight decisions mapped to the P&L.
Page 3 of the AI in Apparel report. Trend & concept: one trend view, updated at every decision.
Page 3 Trend & concept: one trend view, updated at every decision.
Page 11 of the AI in Apparel report. What it takes: the components the high-impact use cases share.
Page 11 What it takes: the components the high-impact use cases share.

Where AI is changing the apparel value chain.

An overview of which use cases are driving value for apparel brands, and how the operating model is being changed.

Isometric cutaway of an apparel business: design studio, trend and planning room, warehouse and logistics, store floor and fitting rooms, connected by shared signal lines.
01

Trend & concept

Collections more on-trend, more responsive to trend changes.

Already moving

ASOS Test & React buys small, then scales the in-season winners. It is heading for 30% of own-brand sales. Zalando Trend Spotter reads weekly searches and likes across ten capitals.

Source: ASOS interim results, H1 FY26; Zalando Trend Spotter, 2026

02

Design & development

Gen AI in design cuts sample cost and idea-to-shelf time.

Already moving

LPP takes design to collection in 6–12 weeks, down from 6–12 months, after rebuilding the process around AI. Walmart goes from trend to product in 6–8 weeks with gen AI, from about six months.

Source: LPP investor day via Reuters, May 2026; Walmart Corporate, Apr 2025

03

Range & buy

Buy depth follows demand risk: less markdown, less stock.

Already moving

About 20% of buying decisions at ASOS are now made by AI, as part of a wider rework of how it buys.

Source: ASOS interim results, H1 FY26

04

Sourcing & production

Flexible sourcing for uncertain styles: less excess stock.

Already moving

American Eagle uses AI simulations, alongside pricing, supplier talks and freight, in its plan to offset more than 60% of its tariff cost. Half of US brands now use AI for sourcing strategy and cost, according to a 2026 industry survey. The decision is getting bigger: Gap has cut China to under 3% of sourcing, and Inditex makes over half of its production near home.

Source: American Eagle via Supply Chain Dive; USFIA / University of Delaware benchmarking study, 2026; Gap Inc. earnings calls, 2025–26; Inditex via Modaes

05

In-season trading

One AI-driven in-season optimisation, linking pricing, personalisation and markdown.

Already moving

Revolve reports about 90 bps of gross margin, primarily from AI-recalibrated markdowns. Savers Value Village reports about 100 bps of gross-profit gain in pilot stores.

Source: Revolve Q2 2026 earnings call; Savers Value Village Q2 2026 earnings call

06

Selling & clienteling

Assistants and stores sell from one view: more conversion.

Already moving

Stitch Fix clients using AI styling spend more than twice as much over 90 days. At Ralph Lauren, styling and outfit discovery are more than half of Ask Ralph engagement.

Source: Stitch Fix Q2 FY26 earnings call; Ralph Lauren Q3 FY26 earnings call, Feb 2026

07

Agentic commerce

More sales and bigger baskets from agents shopping. Who owns the customer?

Already moving

Tapestry has Coach and Kate Spade checkout live inside Gemini. AI-referred traffic to US retail is up 138%, and it converts 54% better.

Source: Tapestry via Business Wire, Sep 2026; Adobe Digital Insights via Digital Commerce 360, Jun 2026

08

Fit, returns & resale

Better size prediction and virtual try-on: fewer returns, cheaper handling.

Already moving

Items with Zalando's AI size advice are returned about 10% less often than similar items without it. Zara has run more than 7 million try-on sessions in 43 markets since December 2025.

Source: Zalando Corporate, Jun 2025 and Jul 2023; Inditex Q1 2026

For the leadership team that funds the next AI project.

Written for boards, CEOs and executive teams of vertically integrated apparel brands. The report ends with five questions worth putting to your own organisation:

  1. 01Is your AI strategy a list of use cases, or built around the decisions that run your business?
  2. 02Is AI transforming your business model, or working within the one you have?
  3. 03Is the success of your AI investments measured in your key commercial metrics?
  4. 04Is the signal generated across your value chain shared and used?
  5. 05Which of your use cases combine the strengths of AI and of your operators?
“

Start where the feedback loop is short.

Most brands run AI as a set of function-level use cases. The value sits in decisions that cross functions, and those need one owner and a portfolio view. Prove it within a season, then fund the foundations the rest depend on.