Fanatics reports 10% higher engagement with AI styling, Vêtir brings personalized shopping across stores, Stripe powers AI payments, and fashion brands accelerate AI adoption. Every big new development that matters in commerce in 2 minutes:

NEW DEVELOPMENTS

01 / Fanatics' AI styling lifts engagement 10%.

Fanatics launched an OpenAI-powered Shop the Look feature, recommending matching products from its catalog. Testing across 30,000 MLB products showed 10% higher engagement than its previous experience.

Why it matters: Test complete-the-look recommendations on your bestsellers. Measure product clicks, add-to-cart rates and average order value.

Read OpenAI's announcement →

02 / Vêtir launches portable AI styling.

Luxury fashion technology company Vêtir introduced Style Passport, allowing shoppers to carry their sizing, preferences and digital wardrobe across online stores. It also launched an AI styling and virtual try-on solution for retailers.

Why it matters: Check whether your customers' sizing and style preferences are saved and reused across shopping sessions.

Read the announcement →

03 / Stripe advances AI shopping payments.

New reporting highlights how Stripe enables AI agents to make authorized purchases using single-use virtual cards with spending limits. Visa and Mastercard are developing alternative token-based payment systems.

Why it matters: Ask your payment provider how AI-agent purchases will be authorized, secured and handled when customers request refunds.

Read the analysis →

04 / 53% of apparel firms use specialist AI.

A new industry analysis cites Aptean research among 245 apparel executives, finding that 53% of their organizations have adopted industry-specific AI. Applications range from demand forecasting to inventory and production planning.

Why it matters: Identify one expensive planning process still managed in spreadsheets. Investigate whether specialized AI could improve it.

Read the research analysis →

SPOTLIGHT

What if AI could sell the complete outfit?

Fanatics' results caught my attention.

Working with OpenAI, the company built AI-powered recommendations that suggest matching products based on style, product data and live inventory.

And the initial numbers are promising.

1. Under 24 hours to test the first 50 products.
2. 30,000 products included in a larger test.
3. 10% higher engagement than its previous experience.

That's engagement, not a confirmed increase in sales.

But think about the opportunity for fashion brands.

A shopper buys a jacket. AI recommends the right trousers, shoes and accessories.

All matching. All available.

AI doesn't just have to help customers find products. It could help them buy more of the right ones.

TIP FOR TODAY

1. Pick one of your bestselling products.
2. Identify 3 complementary products.
3. Check if they're easily discovered together.

Missing recommendations?
Add a complete-the-look test to your backlog.

DEAISY | AI. Commerce. Daily.