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For product development

Product-side intelligence, from brief to sample

Tighten the gap between brief and sample. Structured fabric, silhouette, and construction signal your product team can ship from.

  • Tech-pack-ready references
  • Structured fabric signal
  • Cleaner sample briefs
Bronx & Banco · FW26 · Look 19

Bronx & Banco · FW26

Burgundy Croc

Material

Burgundy Croc

Embossed leather

— On product development teams

"When product direction is unclear, sampling slows down. Teams need trend-backed references, details, and decisions before development begins."

01 — The pattern

Where product development teams lose time

  • Briefs need clearer product detail

    Mood images and trend language need to become clear product cues; category, fabric, silhouette, pattern, detail, and reference context.

  • Sample rounds add up

    Unclear direction creates extra sampling, revisions, and calendar pressure across categories and suppliers.

  • Manufacturer and ODM alignment

    Share visual references, product cues, and source context that travel clearly across teams, suppliers, and locations.

  • References need source context

    Product teams need to know which show, season, designer, look, and garment details sit behind each reference.

02 — The workflow

From source to action, four steps

The same workflow runs across every team. The artifacts and language change with the role.

  1. 01

    Read the signal

    Capture runway, presentation, and street-level signal at the silhouette, color, fabric, print, and category level.

  2. 02

    Find the references

    Search by theme, visual similarity, or natural language to connect emerging directions with relevant looks, details, and design references.

  3. 03

    Generate direction

    Turn signal and references into AI-assisted concept variants grounded in real fashion structure.

  4. 04

    Align the team

    Pull everything into shared moodboards, comments, and exports the team and stakeholders can act on.

03 — Sample outputs

What product teams can act on

  • Fabric and pattern direction

    Track fabric and pattern signals across categories, from denim and leather to organza, checks, florals, and stripes.

  • Silhouette and garment details

    Track fit, length, waist, shoulder, hem, volume, and product details across the season.

  • Color and detail direction

    Pantone TCX-aligned color signals and garment details organized by category and product groups.

  • Development-ready reference boards

    Build boards where every reference stays connected to its show, season, designer, look, and garment details.

  • Supplier-ready briefs

    Turn references, product cues, and source context into clearer handoffs for ODMs, factories, and sample teams.

04 — Use cases

Where runway intelligence supports your week

Use runway-backed insights across collection, buying, merchandising, campaign, and leadership conversations — without rebuilding the same research each time.

  • 01

    From brief to sample

    Turn creative direction into clearer product briefs with fabric, silhouette, pattern, color, and detail cues.

  • 02

    Supplier brief alignment

    Give factories and ODMs briefs built on runway-backed references, product cues, and clear source context.

  • 03

    Capsule development

    Move from seasonal direction to focused product ideas, references, and sample briefs for capsules or limited drops.

  • 04

    Category adaptation

    Adapt runway-backed colors, fabrics, silhouettes, and details across your product categories.

  • 05

    Manufacturer-side direction

    Help ODM and factory teams translate runway-backed signals into clearer product proposals and sample briefs.

  • 06

    Pre-sampling alignment

    Align design, product, and supplier teams on the same references and product cues before samples are made.

— Methodology

Data-driven, fashion-native, collaborative

  1. 01

    Thousands of runway looks are structured into garment-level data, with every signal linked back to its show, season, designer, and image.

  2. 02

    Pattern recognition, not guesswork. T-Fashion compares signals across seasons, designers, categories, colors, fabrics, and silhouettes to show what is gaining or losing momentum.

  3. 03

    Fashion-native language. Each look is broken down into fashion attributes from category, silhouette, fabric, pattern, and motif to 2,400+ Pantone TCX color mappings.

  4. 04

    Collaborative decision layer. Teams work from the same layer of data, references, boards, and AI outputs without losing context.

FAQ

Common questions

How does T-Fashion help product development?

It translates runway and market signal into structured fabric, silhouette, and construction direction your product team can act on - so briefs land cleaner and sample rounds tighten.

Does it work for ODM and factory-side teams?

Yes. Manufacturers and ODMs use T-Fashion to build buyer-ready proposals grounded in real runway and trend signal.

How does this fit alongside our PLM and tech-pack tools?

T-Fashion sits before PLM. Outputs (concepts, direction, structured references) become inputs into your existing tech-pack and production stack.

Can we attach references with full attribution?

Yes. Every reference is linked back to its show, season, designer, and look context - which transfers cleanly into the tech-pack.

Does it cover accessories and footwear development?

Yes. Coverage spans accessories, footwear, jewelry, and headwear with the same fabric, finish, and construction-level signal.

Get started

See product-side signal

Bring a category, a recent brief, or a sample round you want to tighten. We will walk through how product teams put T-Fashion into the development calendar.