# T-Fashion vs WGSN

*Updated September 22, 2026. Written by T-Fashion. WGSN is a trademark of its owner; T-Fashion is not affiliated.*

Both help fashion teams decide what to make next. WGSN is the long-range forecast, written by 250 analysts across six industries. T-Fashion is the workspace where your team builds data-oriented collections, from the first trend question to the tech pack.

## Best for

- **WGSN:** Long-range forecasts across fashion, beauty, interiors and more
- **T-Fashion:** The collection work, from trend research to tech pack, in one place
- **Both:** Many teams keep WGSN for the long view and work in T-Fashion

## Where each one fits in the work

| Stage | WGSN | T-Fashion |
| --- | --- | --- |
| Long-range foresight | Yes | No |
| Trend research | Yes | Yes |
| Runway references | Yes | Yes |
| Concepts and sketches | Partly | Yes |
| Team boards | No | Yes |
| Line plan review | No | Yes |
| Tech pack review | No | Yes |
| Demand and buying | Yes | No |

## Side by side

| Dimension | T-Fashion | WGSN |
| --- | --- | --- |
| What it is | AI workspace for fashion teams | Trend forecasting across six industries |
| Where the work happens | Trend insights to tech packs | Reports and downloads for other tools |
| After a show | Full show analysis ready within an hour | Daily dashboard, reports on a calendar |
| Design tools | Studio concepts with technical flats | CAD, print and color downloads |
| Forecast reach | Current and next seasons | Three months to ten-plus years |
| Pricing | $999 a month, month to month | Custom annual quote |

## Where WGSN is stronger

- **Macro consumer foresight.** Future Consumer reports and the STEPIC framework look three to ten years ahead. T-Fashion does not attempt long-range consumer forecasting.
- **Categories beyond fashion.** Beauty, interiors, consumer tech, food and drink and sports sit in one subscription. Multi-category groups get a single vendor.
- **Retail and buying data.** WGSN Fashion Buying tracks SKU-level assortment and pricing across hundreds of retailers, with TrendCurve AI projections for range planning.
- **Color systems and brand weight.** Coloro, with more than 3,500 colours and physical swatch books, plus a 28-year archive and recognition across most of the world’s top fashion brands.

## Pricing

- **T-Fashion:** $999 / month. Professional is month-to-month with platform access, runway insights and shared boards for the team. Enterprise adds SSO, dedicated customer success, bespoke onboarding and early access to new features. Special pricing for fashion education.
- **WGSN:** Custom quote. WGSN states that pricing is fully customised to company size, revenue tier and geographic markets, with no per-user licensing. Contracts are annual. No price is published for the main platform. START by WGSN is a separate low-cost product for students and small businesses. Third-party reports of WGSN contract values vary widely and are not verified by T-Fashion. Ask WGSN for a quote.

## What is WGSN?

WGSN is a London-based trend forecasting company founded in 1998 and owned by Apax Funds since 2024. More than 250 in-house analysts publish forecasts for fashion, beauty, interiors, food and drink, consumer tech and sports, from three months to ten-plus years ahead. Fashion products include Fashion Design, Fashion Buying with TrendCurve AI, the Coloro color system, Pulse generative search and, from September 2026, a Catwalks AI Dashboard.

## What is T-Fashion?

T-Fashion is an AI workspace for fashion teams. It covers the collection work from trend research to tech pack: analysis of every major fashion week by the next morning, search across 550K runway photos, AI concept design with technical flats, shared moodboards, and an Agent that writes season briefs and reviews line plans and tech packs with the runway evidence cited.

## The long version

### Measurement versus editorial judgment

WGSN’s value is a point of view: analysts decide what matters and write it up, backed by five data sources and expert validation. T-Fashion’s value is measurement: every look is tagged, every signal scored, and the report is a readout of what actually walked. Neither replaces the other. Measurement is faster and verifiable. Editorial is opinionated and reaches further out.

### Overnight versus the publication cycle

T-Fashion Insights is ready the morning after each show, so a design team can react while the season is still moving. WGSN publishes on an editorial calendar, with the new Catwalks AI Dashboard narrowing the gap for raw runway data during fashion month.

### Where the design work happens

WGSN ends at the download: CADs, prints and color codes go into Illustrator or your PLM. T-Fashion keeps going: any runway look opens in Studio for concept variants and technical flats, and everything pins to a shared Moodboard the whole team can edit.

### Many industries versus the whole fashion workflow

WGSN covers six consumer industries and forecasts up to ten years out, which suits corporate strategy and multi-category groups. T-Fashion is built for fashion teams and covers the work itself: trend research, references, concepts, boards, season briefs, line plans and tech packs in one place.

### How you buy it

WGSN prices by custom quote based on company size, revenue tier and markets, on annual contracts. T-Fashion publishes $999 a month, month-to-month, so a team can validate it against a season they already know before committing a budget line.

## Full comparison

| Dimension | T-Fashion | WGSN |
| --- | --- | --- |
| What it is | AI workspace for fashion teams, from trend research to tech pack | Analyst-led trend forecasting across six consumer industries |
| Workflow covered | Trend research, runway references, concept design, team boards, season briefs, line-plan and tech-pack review | Long-range forecasts, trend reports, downloadable CADs and color, retail buying data |
| How trends are called | Models read every look from every show and score visibility, growth and designer adoption | Analysts synthesise social, sentiment, search, shows and shelf data, with TrendCurve AI projections for buying |
| Speed after a show | Full fashion week analysis ready by the next morning | Catwalks AI Dashboard updates daily during fashion month; analyst reports follow an editorial calendar |
| Runway coverage | 500 fashion weeks, 20,000+ shows, 550K photos, every look tagged and searchable | 5 million+ catwalk images in a 28-year archive, per WGSN |
| Forecast horizon | Current and next seasons, from the latest shows | Three months to ten-plus years; up to five seasons ahead for fashion design |
| Evidence trail | Every signal links to its shows, looks, designers and Pantone TCX tones | Reports cite WGSN data sources; catwalk images available in the library |
| Design tools | Explore visual search, Studio concept generation with technical flats, shared Moodboards, Agent | Downloadable CADs, prints, Coloro and Pantone codes for use in Illustrator and other tools |
| AI assistant | Agent researches seasons, builds cited briefs and reviews line plans and tech packs | Pulse generative search answers questions across your WGSN subscription |
| Beyond fashion | Fashion, across the whole collection workflow | Beauty, interiors, consumer tech, food and drink, sports, beverage alcohol via IWSR |
| Pricing | $999 per month, month-to-month; Enterprise on request | Custom quote scaled by company size, revenue and markets; no public price |
| Free trial | Walkthrough on your own season, then activation | Demo request; no free trial for the main platform |

## FAQ

**Is T-Fashion a WGSN alternative?**
It depends on what you use WGSN for. For the collection work, yes: trend research after every show, runway references, Studio concept design, shared moodboards, season briefs and line-plan and tech-pack review sit in one workspace. For long-range consumer forecasting beyond fashion, WGSN remains the broader service, and some teams keep both.

**How much does WGSN cost compared to T-Fashion?**
WGSN does not publish pricing. It quotes custom annual contracts scaled by company size, revenue and markets. T-Fashion publishes its pricing: Professional is $999 per month, month-to-month, and Enterprise is priced on request with SSO and dedicated success.

**Does T-Fashion cover as many runway shows as WGSN?**
WGSN reports a 28-year archive of more than five million catwalk images. T-Fashion covers 500 fashion weeks, 20,000+ shows and 550K runway photos, with every look tagged for silhouette, fabric, pattern and Pantone-matched color and every signal scored. The difference is structure and speed rather than raw archive size.

**What is the difference between editorial and AI trend forecasting?**
Editorial forecasting is expert judgment: analysts watch the market and write a point of view. AI trend analysis is measurement: models read every look and quantify visibility, growth and designer adoption, so a trend call carries evidence you can check against the shows. WGSN uses both, with analysts in the loop. T-Fashion is measurement-first.

**Can a design team use T-Fashion and WGSN together?**
Yes. A common setup keeps WGSN for long-range consumer direction and multi-category coverage, and adds T-Fashion for overnight runway analysis, reference search and concept work during the design cycle.

**Can we switch from WGSN mid-season?**
Yes. T-Fashion is month-to-month with no annual lock-in, and the archive covers past seasons, so your team can check the analysis against fashion weeks you already know before committing a season to it.

**When is WGSN the better choice?**
When your primary need is consumer foresight three or more years out, an editorial point of view across categories beyond fashion, SKU-level retail data for buying, or the Coloro color system. T-Fashion is the better choice when the team wants to do the collection work in one place, from trend research to tech pack.

## Sources

WGSN facts were checked on September 22, 2026 against these public pages:

1. [WGSN homepage and company page](https://www.wgsn.com/en/wgsn) (analyst count, client scale, industries)
2. [WGSN FAQs](https://www.wgsn.com/en/wgsn/faqs) (forecast horizons, pricing model, no per-user licensing)
3. [WGSN Fashion Design](https://www.wgsn.com/en/products/fashion-design) (five data sources, five seasons ahead, accuracy claim)
4. [WGSN AI and data](https://www.wgsn.com/en/what-we-do/ai-data) (catwalk archive size, analyst-in-the-loop)
5. [WGSN Fashion Buying launch, August 2024](https://www.wgsn.com/en/wgsn/press/press-releases/wgsn-launches-fashion-buying-dedicated-intelligence-and-forecast-led) (TrendCurve AI)
6. [WGSN Pulse](https://www.wgsn.com/en/features/pulse) (generative search)
7. [WGSN press releases](https://www.wgsn.com/en/wgsn/newsroom/press-releases) (Catwalks AI Dashboard, September 2026; IWSR acquisition, June 2025)
8. [Apax Funds complete acquisition of WGSN](https://www.apax.com/news-views/apax-funds-complete-acquisition-of-leading-trend-forecasting-business-wgsn/) (ownership since February 2024)
9. [WGSN Coloro](https://www.wgsn.com/en/products/coloro) (color system)

Canonical: https://tfashion.ai/compare/wgsn