What is the trend of integrated genai product workflows?

Tightly coupled AI tools with PLM data create the potential for end-to-end automation of concept-to-market pipelines that reduce time and errors across stages.

What is the trend of collaborative cross-functional design?

Design, merchandising, sourcing and marketing alignment through shared AI environments enables unified decisioning and reduces costly rework caused by siloed processes.

What is the trend of data-linked generative visualizations?

Generative visuals tied to live product metadata open possibilities for rapid, SKU-accurate mockups and personalized assortment planning that bypass traditional sampling cycles.

What are the implications for the fashion and apparel industry?

Brands stand to benefit from AI-driven sample reduction and virtual prototyping that could transform seasonal cycles and inventory risk models.

What are the implications for the food and beverage industry?

Recipe and packaging ideation powered by generative models connected to compliance and sourcing data could accelerate SKU innovation while ensuring regulatory alignment.

What are the implications for the manufacturing and omds industry?

Manufacturers and ODMs may see optimized production planning and specification handoffs as AI platforms translate designs into manufacturable, costed technical packs.

GenAI Product Creation Platforms : Centric AI Studio

GenAI Product Creation Platforms Image 2

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Centric AI Studio Helps to Commercialize Products Faster

Laura McQuarrie — May 22, 2026 — Tech

References: prnewswire

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Centric AI Studio is a new, generative AI platform designed to help brands accelerate the design, development, and commercialization of products with connected workflows. Made for enterprise product teams, this GenAI product creation platform is fully integrated with Centric PLM to enable brands to conceptualize and refine, visualize assortments, accelerate development and even create launch-ready assets. Unlike fragmented standalone AI tools that remain disconnected from product data and approvals, this platform invites design, merchandising, development, sourcing and marketing teams to work alongside one another.

Centric AI Studio is ideal for fashion, apparel, footwear, luxury, outdoor, home, cosmetics, food & beverage and multi-category retail brands, as well as ODMs and manufacturers, and it's already in use by brands like GANT and g-lab.

Question 1

During a summer leisure trip, have you ever left your usual smartphone behind and used only a basic phone or "dumbphone" with limited functions?

Question 2

What was the MAIN reason you used this type of device during your trip?

Question 3

On a future leisure trip, how likely would you be to leave your smartphone behind and use only a basic phone with limited functions?

Question 1

Which of the following types of devices have you personally used in the past 12 months?

Select up to 8

Question 2

What are the main reasons you use or chose this type of device?

Select up to 3

Question 3

How likely would you be to choose a foldable or multi-screen device the next time you purchase a smartphone, tablet, or laptop?

Trend Themes

Integrated Genai Product Workflows — Tightly coupled AI tools with PLM data create the potential for end-to-end automation of concept-to-market pipelines that reduce time and errors across stages.
Collaborative Cross-functional Design — Design, merchandising, sourcing and marketing alignment through shared AI environments enables unified decisioning and reduces costly rework caused by siloed processes.
Data-linked Generative Visualizations — Generative visuals tied to live product metadata open possibilities for rapid, SKU-accurate mockups and personalized assortment planning that bypass traditional sampling cycles.

Industry Implications

Fashion and Apparel — Brands stand to benefit from AI-driven sample reduction and virtual prototyping that could transform seasonal cycles and inventory risk models.
Food and Beverage — Recipe and packaging ideation powered by generative models connected to compliance and sourcing data could accelerate SKU innovation while ensuring regulatory alignment.
Manufacturing and Omds — Manufacturers and ODMs may see optimized production planning and specification handoffs as AI platforms translate designs into manufacturable, costed technical packs.

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