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Fashion intelligence, team by team

One workflow. Eight ways into the brand. Pick the team that maps to yours.

Jacquemus FW26 look 38

Jacquemus · FW26 · Look 38

FW26 palette

What gets analyzed

  • Color
  • Silhouette
  • Fabric
  • Motif
  • Category momentum
  • Data-driven

— On the workflow

"The same Fashion Week. Read by every team in the brand. With the same data-driven evidence behind every direction."

01 — Pick your team

A solution page for every buyer lane

From the brand parent down to the founder-led emerging brand. Each page is built around the team's actual job, not generic positioning.

02 — The workflow

Source, signal, briefs, action

Every team plugs into the same workflow. The artifacts and language change with the role.

  1. 01

    Source

    Runway, presentations, and curated social-media imagery captured during each fashion week.

  2. 02

    Signal

    Structured analysis at silhouette, color, fabric, motif, and category level.

  3. 03

    Briefs

    Team-ready briefs and shared boards across design, merchandising, product, and strategy.

  4. 04

    Action

    Collection direction, assortment input, sample briefs, sell-in narrative, executive readouts.

03 — Sample report

See a Fashion Week snapshot before you book

Each snapshot covers color direction, silhouette shifts, fabric signals, motif cues, and category momentum - with attribution back to specific shows and looks.

  • Color direction

    Pantone-aligned palette analysis grouped by category and tier.

  • Silhouette shifts

    Shoulder, waist, hem, volume, and proportion movement.

  • Fabric direction

    Weights, finishes, fibers, and surface treatments.

  • Category momentum

    What is accelerating and what is fading, by region and tier.

— Methodology

Data-driven, designer-native, customer-owned

  1. 01

    Data-driven analysis. Every signal links back to specific shows, presentations, and runway looks.

  2. 02

    Pattern recognition, not prediction. T-Fashion structures what is happening and helps your team decide what to do with it.

  3. 03

    Designer-native language. Outputs use silhouette, color, fabric, and category vocabulary - not generic "trend" labels.

  4. 04

    Workspace data is owned by the customer. References, prompts, and AI outputs are not used to train shared models without consent.

FAQ

Common questions

Who is T-Fashion built for?

Fashion brands across design, merchandising, product, buying, trend, and strategy. Plus emerging fashion brands and the agencies and consultants serving them.

Do we have to use it across the whole brand?

No. Most teams start with one function - design, merchandising, or trend - and expand to others over time. The platform is priced by workspace, so all of T-Fashion is available on every plan.

How is this different from external trend forecasting subscriptions?

External subscriptions deliver curated themes on a slow cadence. T-Fashion gives your team the structured underlying signal during the season - so synthesis happens in your voice and on your calendar.

Is the AI work defensible to leadership?

Yes. Every direction links back to specific shows and looks. Customer-uploaded references and AI outputs are owned by the customer workspace and not used to train shared models without consent.

Where do I see a real example?

Pick the page closest to your team above and book a tailored walkthrough. Or download a sample Fashion Week snapshot from the reports page.

Get started

A walkthrough tailored to your team

Bring a season, a category, or a recent buyer brief. We will run a sample analysis and walk through how the workflow lands for your specific team.