InventarIA

PROJECT

InventarIA

Generative AI platform for designing garments from production leftovers
PROJECT LEAD

Luigi Cafiero

CONCEPT

InventarIA is a Generative AI platform for designing garments from pre-consumer production leftovers.
Its main goals are:

(a) To create a Made in Italy upcycling database that catalogs production surplus in the fashion sector.

(b) To apply Generative AI tools to design new garments using the materials available in this database.

The platform repurposes textiles, leather, metal fittings, buttons, embroidery—often left over from sample collections, flawed cuts, or unsold stock—preventing them from ending up in landfills or being left in storage. Thanks to InventarIA, these materials are reintroduced into the production chain, enabling designers, artisans, makers, and students to create one-off pieces or capsule collections using existing resources, without initiating new production.

CONTEXT

The fashion industry has a significant environmental impact.
It is estimated that millions of garments are discarded every year, contributing heavily to CO₂ emissions. From 1960 to 2015, textile waste increased by an estimated 811%, and in 2015 alone, 1,630 tons of clothing ended up in landfills.

A large portion of this is pre-consumer textile waste, discarded before the product ever reaches the market.
To reduce this, it’s not enough to act at the top of the supply chain with more sustainable production. We must also act at the bottom by re-designing existing finished products that have reached the end of their intended life cycle.

Beneficiari

OBJECTIVES AND EXPECTED RESULTS

InventarIA aims to:

  • Experiment with a rewarding synergy between Generative AI and the goal of making fashion more sustainable, one of Italy’s most vital manufacturing sectors.
  • Enable fashion producers and subcontractors—from micro-enterprises to large companies—to replace the costs of storage and disposal with value-generating opportunities, using unused raw materials, semi-finished products, textiles, and accessories.
  • Provide designers, stylists, and emerging talents the opportunity to challenge their creativity by working with limited but high-quality datasets, encouraging the creation of unique, original, and low-impact garments.
  • Raise awareness among companies and designers about sustainability issues.
  • Establish InventarIA as a concrete tool for sustainable design in the fashion supply chain.
  • Extend the lifecycle of products, reducing their environmental footprint.

KEY FIGURES

8

RESEARCHERS INVOLVED

8294

RESEARCH HOURS

2

NEW HIRES EXPECTED

12

PROJECT DURATION

3

NUMBER OF WORK PACKAGES (WPS)

4

STARTING TRL

6

FINAL TRL