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Artificial intelligence (AI) is transforming the fashion industry, helping brands cut waste, streamline operations, and achieve ambitious sustainability goals.

Despite concerns about AI’s energy use, its ability to optimize resources and reduce inefficiencies makes it a game changer for sustainable fashion.

Since 2007, ¹ú²úAV has been pioneering AI-driven solutions to reduce environmental impact while boosting efficiency. 

With over 8,000 connected machines worldwide, ¹ú²úAV captures real-time data to help brands make smarter, more sustainable decisions.

Overproduction is a major challenge, with 10-40% of garments going unsold each year. 

In 2023 alone, the industry generated an estimated 2.5 to 5 billion items of excess stock, primarily due to a forecast-based business models. 

To combat overproduction, brands must accurately determine what to produce, in what quantities, and at what costs. 

Retviews, ¹ú²úAV’s competitive intelligence platform, harnesses the power of AI to provide real-time monitoring and analysis of retail market data and the competitive landscape. 

AI’s capabilities in analyzing image data are particularly transformative, as it can process vast quantities of images with remarkable speed and accuracy as well as ensure consistency in image categorization and labeling. 

By identifying market trends and consumer preferences through AI-driven analysis, companies can optimize their production strategies and align their offerings with actual demand. 

This real-time insight into competitor strategies and market dynamics empowers brands to make informed decisions, ultimately reducing unsold inventory and fostering a more competitive edge in the fashion market.

In addition to the material waste associated with unsold products, garment production itself contributes significantly to the waste problem, with manufacturers often ordering 3-10% more material than necessary. 

Valia Fashion addresses this issue by leveraging artificial intelligence and advanced algorithms to help brands make informed fabric purchasing decisions, thereby minimizing waste while ensuring cost-effectiveness. 

Valia Fashion employs sophisticated AI algorithms to analyze fabric characteristics and simulate consumption and costs accurately. By refining material estimates based on historical data, Valia Fashion enhances the precision of its calculations. 

Using realistic cutting room scenarios facilitates purchasing decisions that align closely with actual production needs. 

During production, Valia Fashion’s automated nesting capabilities maximize material use by generating optimized nesting plans that consider various fabric constraints and production variables. 

Alongside the generated nesting plan, Valia Fashion also displays the material efficiency for that order. The operator can then decide to relaunch the nesting if the material efficiency level is not high enough.

As sustainability regulations tighten and consumers increasingly demand concrete proof of a company’s sustainability commitments, supply chain traceability has become indispensable for fashion brands. 

The complexity of the fashion supply chain, often involving numerous tiers and a diversity of materials, presents significant challenges in reaching the required level of transparency. 

TextileGenesis is a pioneering traceability platform that ensures a reliable, secure, and digital mapping of a textile throughout the supply chain, from fiber to retail. 

TextileGenesis verifies the authenticity and sustainability of materials using AI-driven tokenization. Each token, which represents a physical material in the supply chain, acts as a digital certificate, containing important information about the material’s origin and journey. 

As the fiber moves through the supply chain—from producers to mills, dyers, manufacturers, and retailers—the , ensuring every stage is accurately documented.