Refabric promotes Turkish-language webinar on AI-powered tech pack tools for apparel developers

Refabric is expanding its AI-powered Tech Pack Module to product developers, automating the conversion of design sketches into manufacturing specs. A Turkish-language webinar on May 13 kicks off its push into non-English markets.

Categorized in: AI News Product Development
Published on: May 17, 2026
Refabric promotes Turkish-language webinar on AI-powered tech pack tools for apparel developers

Refabric Targets Product Developers With AI-Powered Tech Pack Tools

Refabric, a fashion-focused AI platform, is expanding its reach into product development workflows through localized education and free trials. The company announced a Turkish-language webinar on May 13 centered on its Tech Pack Module, which automates the conversion of design sketches, flat shots, and technical drawings into organized specification documents.

The tech pack tool captures measurements, materials, trims, and color details in a single system. For product developers, this addresses a core pain point: the manual work of translating design intent into manufacturing specifications that prevent errors and delays.

Broader Design-to-Production Integration

Refabric's strategy extends beyond tech packs. The platform integrates trend analysis, a Design Canvas for sketching, and a Photoshoot module that generates on-model imagery and video directly from designs. Connections to Pinterest and runway analysis by color, fabric, and silhouette allow teams to ground design decisions in market data.

The company has also upgraded its content creation tools, enabling product developers to move from sketch to finished photography without leaving the platform.

Expansion Through Regional Engagement

By offering webinars in Turkish and promoting free trials, Refabric is building adoption beyond English-speaking markets. The focus on education-teaching teams how to use the tools rather than just selling access-suggests a long-term play for recurring revenue and customer retention.

For product development teams managing multiple SKUs, shorter design-to-production cycles, or coordination across global manufacturers, these workflows reduce handoffs and specification errors. The platform's strength lies in embedding itself into the actual work rather than sitting as an isolated tool.

Learn more about AI for Product Development and AI Design Courses to understand how these tools fit into broader skill development for your team.


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