BRIA AI - Centric Integration and Automation

Common Integration Use Cases Between BRIA AI and Centric

1. AI-Generated Product Concept Visuals for PLM Reviews

Data flow: Centric ? BRIA AI ? Centric

Product teams can push early-stage product specifications, colorways, and material details from Centric into BRIA AI to generate realistic concept visuals before physical samples are available. The generated images can then be returned to Centric and attached to the product record for design reviews, merchandising alignment, and executive approvals. This shortens concept cycles and reduces dependence on costly mockups.

2. Automated Creation of Seasonal and Market-Specific Product Imagery

Data flow: Centric ? BRIA AI

Centric can provide approved product attributes such as style, size, color, and launch market to BRIA AI, which then creates localized imagery for different regions, seasons, or campaigns. For example, the same apparel item can be shown in winter settings for one market and lifestyle scenes for another. This supports faster localization while keeping product data consistent with the source of truth in Centric.

3. Visual Variant Generation for Assortment and Line Planning

Data flow: Centric ? BRIA AI ? Centric

Merchandising and design teams can use Centric product data to generate multiple visual variants of a style, such as alternate backgrounds, model contexts, or color presentations. These variants can be stored back in Centric to support assortment planning, line reviews, and internal decision-making. This improves collaboration by giving stakeholders more visual options without waiting for new photo shoots.

4. Pre-Launch Marketing Asset Production from Approved Product Data

Data flow: Centric ? BRIA AI ? DAM or downstream channels

Once a product reaches a defined approval stage in Centric, approved attributes can be sent to BRIA AI to generate launch-ready imagery for e-commerce, digital campaigns, and sales enablement. This helps marketing teams begin asset production earlier in the product lifecycle, reducing time-to-market. It also ensures that visuals are aligned with the latest approved product information.

5. Product Image Refresh for E-Commerce Catalogs

Data flow: Centric ? BRIA AI ? e-commerce or DAM

Centric can supply authoritative product details to BRIA AI to create updated catalog images, such as clean backgrounds, lifestyle scenes, or alternate crop formats. These assets can then be distributed to e-commerce platforms or digital asset management systems. This is especially useful for brands that need to refresh product imagery across many SKUs without repeated studio photography.

6. Cross-Functional Review of Packaging and Visual Presentation

Data flow: Centric ? BRIA AI

Packaging, design, and product teams can use Centric to manage packaging specifications and send those details to BRIA AI for visual mockups of packaging in context. The resulting images can be reviewed in Centric alongside product data, helping teams evaluate shelf appeal, branding consistency, and presentation quality before production. This reduces rework and improves approval accuracy.

7. AI-Assisted Content Variations for Product Launch Testing

Data flow: Centric ? BRIA AI

Centric can provide approved product data to BRIA AI to generate multiple image variations for A/B testing across digital channels. Marketing teams can test different backgrounds, compositions, or contextual scenes while keeping the product itself consistent. This supports data-driven optimization of launch assets and improves campaign performance.

8. Centralized Governance of Approved Visual Assets

Data flow: BRIA AI ? Centric

After creative teams generate and approve AI-produced imagery in BRIA AI, final assets can be stored in Centric as part of the product record. This creates a governed link between product data and approved visuals, making it easier for downstream teams to find the correct asset version. It also supports auditability and reduces the risk of using outdated or unapproved imagery.