@kobolabs/fashion-calendar
v1.0.0
Published
Fashion industry calendar — seasons, fashion weeks, trade shows, and product development timelines
Maintainers
Readme
fashion-calendar
Fashion industry calendar -- seasons, fashion weeks, trade shows, and product development timelines.
Why This Exists
The fashion industry runs 12-18 months ahead of retail. If you're building software for fashion brands, sourcing teams, or retail buyers, you need to understand the calendar. This dataset gives you structured, machine-readable data for seasons, fashion weeks, trade shows, delivery windows, and the full product development timeline.
Season Overview
Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec
---- ---- ---- ---- ---- ---- ---- ---- ---- ---- ---- ----
SS ===================== RETAIL (Northern)
AW ============================== RETAIL (Northern)
Resort =========== RETAIL
Pre-Fall =============== RETAIL
SS [DESIGN........]
SS [SAMPLING....
SS ..] [SALES...........................]
SS [PRODUCTION................]
SS [DELIVERY..........]
AW [DESIGN........]
AW [SAMPLING.......]
AW [SALES...................]
AW [PRODUCTION................]
AW [DELIVERY............]Data Files
| File | Description |
|------|-------------|
| data/seasons.json | 4 seasons (SS, AW, Resort, Pre-Fall) with phases, months, and notes |
| data/fashion-weeks.json | 8 major fashion weeks with editions, dates, and venues |
| data/trade-shows.json | 16 key trade shows with exhibitor counts, focus areas, and schedules |
| data/delivery-windows.json | Delivery timing by brand tier (Luxury, Contemporary, High Street, DTC) |
| data/development-timeline.json | 16 milestones from concept to delivery with week offsets |
Quick Start
npm install @kobolabs/fashion-calendarconst seasons = require('@kobolabs/fashion-calendar');
// Get the current season's design phase
const ss = seasons.find(s => s.abbreviation === 'SS');
console.log(ss.designPhase);
// → { months: ["June", "July", "August"], description: "Concept development, fabric sourcing, initial sketches" }Load individual files:
const fashionWeeks = require('@kobolabs/fashion-calendar/data/fashion-weeks.json');
const tradeShows = require('@kobolabs/fashion-calendar/data/trade-shows.json');
const timeline = require('@kobolabs/fashion-calendar/data/development-timeline.json');
// Find all trade shows relevant for sourcing managers
const sourcingShows = tradeShows.filter(show =>
show.relevantFor.includes('sourcing-managers')
);
console.log(sourcingShows.map(s => s.name));
// → ["Premiere Vision Paris", "Premiere Vision New York", "Texworld Paris", ...]Fashion Weeks
| Event | City | SS Edition | AW Edition | Duration | |-------|------|------------|------------|----------| | NYFW | New York | September (2nd week) | February (2nd week) | 7 days | | LFW | London | September (3rd week) | February (3rd week) | 5 days | | MFW | Milan | September (3rd-4th week) | February (4th week) | 6 days | | PFW | Paris | Sep-Oct (last week Sep) | Feb-Mar (last week Feb) | 9 days | | TFW | Tokyo | September (1st week) | March (2nd week) | 6 days | | SHFW | Shanghai | October (2nd week) | March (4th week) | 7 days | | LAFW | Lagos | October (4th week) | April (2nd week) | 4 days | | AFW | Sydney | May (2nd week) | November (2nd week) | 5 days |
Fashion weeks run in order: New York, London, Milan, Paris. This sequence repeats twice a year for SS (September) and AW (February). Tokyo, Shanghai, Lagos, and Sydney run on independent schedules.
Trade Shows (Top 10)
| Show | City | Focus | Exhibitors | |------|------|-------|------------| | Premiere Vision Paris | Paris | Fabric, textiles, color trends | 1,800+ | | MAGIC Las Vegas | Las Vegas | Full-spectrum: RTW, sourcing, footwear | 5,000+ | | Intertextile Shanghai | Shanghai | Volume fabric sourcing, Asian mills | 5,000+ | | Pitti Uomo | Florence | Premium menswear, tailoring | 1,200+ | | Texworld Paris | Paris | Volume fabric sourcing | 1,200+ | | Who's Next | Paris | Ready-to-wear, contemporary | 800+ | | Pure London | London | UK market: womenswear, menswear | 800+ | | Outdoor Retailer | Salt Lake City | Performance, outdoor, activewear | 1,400+ | | Bread & Butter | Berlin | Streetwear, denim, urban | 600+ | | Kingpins | Amsterdam/NY | Denim-specific: mills, laundries | 80+ |
Delivery Windows
| Tier | Example Brands | SS Delivery | AW Delivery | Lead Time | |------|----------------|-------------|-------------|-----------| | Luxury | Chanel, Gucci, Prada | Dec-Apr | Jun-Oct | 12 months | | Contemporary | Ganni, Sandro, Reformation | Jan-Mar | Jul-Sep | 9 months | | High Street | Zara, H&M, Uniqlo | Continuous (12-52 drops/yr) | Continuous | 3 months | | DTC | Everlane, Girlfriend Collective | Feb-Apr | Aug-Oct | 6 months |
Development Timeline
A contemporary brand working on SS27 with a March 2027 delivery would follow this timeline:
Concept & Research -60w ~Dec 2025 4 weeks
Design & Sketching -56w ~Jan 2026 6 weeks
Fabric & Trim Sourcing -50w ~Mar 2026 4 weeks
Proto Sampling -46w ~Apr 2026 4 weeks
Fit Sampling -42w ~May 2026 4 weeks
Sales & Buying -38w ~Jun 2026 8 weeks
Pre-Production Sampling -30w ~Aug 2026 3 weeks
Production Order -27w ~Sep 2026 1 week
Fabric Production -26w ~Sep 2026 6 weeks
Cut & Sew -20w ~Nov 2026 6 weeks
TOP Sample & QC -14w ~Dec 2026 2 weeks
Packing & Labelling -12w ~Dec 2026 2 weeks
Shipping -10w ~Jan 2027 6 weeks
Warehouse Receiving -4w ~Feb 2027 2 weeks
Distribution -2w ~Feb 2027 2 weeks
Delivery / In-Store 0w Mar 2027Example Script
Calculate a timeline from a target delivery date:
node examples/timeline-calculator.js 2027-03-01
node examples/timeline-calculator.js 2027-09-01Output:
Product Development Timeline for SS27
Delivery date: Mar 1, 2027
Phase Start End Weeks Wks to Delivery
-----------------------------------------------------------------------------------
Concept & Research 2025-12-17 2026-01-14 4 -60w
Design & Sketching 2026-01-14 2026-02-25 6 -56w
Fabric & Trim Sourcing 2026-02-25 2026-03-25 4 -50w
...
Delivery / In-Store 2027-03-01 --- --- DELIVERYContributing
See CONTRIBUTING.md for guidelines on adding trade shows, updating dates, or expanding regional coverage.
Built by the team at Kobo -- modern PLM for fashion brands.
