GARMENT TECH Ed — 30 industry chapters

Consumer behaviour, demand sensing and price optimisation.

Central source of truth across product, supplier, sustainability.

Cost engineering with AI predictions.

Digital shop-floor, MES, sensors and digital twin.

Colour, silhouette and material forecasting powered by AI.

Digital sketching, generative design and collection planning.

Virtual sampling, avatars and digital twin garments.

Bill of materials, construction and testing specs.

Digital CAD patterns, grading and made-to-measure.

3D body scanners, avatars and size recommendation.

End-to-end sample tracking and approvals.

Natural, cellulosic, recycled and biobased fibres.

Spinning systems and yarn quality control.

Rapier, air-jet, jacquard and selvedge denim looms.

Circular, flat and seamless whole-garment knitting.

Spunbond, meltblown and technical textile systems.

Low-liquor, waterless and digital colour systems.

Mechanical and functional finishing systems.

Screen, digital and sublimation printing.

Manual and AI-based defect detection.

Spectro data, digital standards and AI shade approval.

Physical, colour and chemical testing.

AQL discipline, real-time quality analytics.

AI nesting and defect-aware marker planning.

Automatic knife, laser, single-ply and CNC cutting.

Automation, templates and IoT-connected sewing.

Ozone, e-flow, laser and low-impact denim.

Discovery, RFQ, scoring and risk monitoring.

Impact measurement, water/energy monitoring and reporting.

Take-back, resale, repair and closed-loop recycling.