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Excel - BRIA AI Integration and Automation

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Common Integration Use Cases Between Microsoft Excel and BRIA AI

1. Bulk Product Image Variation Planning from Excel to BRIA AI

Marketing and e-commerce teams maintain product lists in Microsoft Excel, including SKU, product name, target market, image style, background preference, and campaign priority. This data can be sent to BRIA AI to generate large batches of product image variations for different channels and audiences.

  • Data flow: Microsoft Excel to BRIA AI
  • Business value: Reduces manual creative briefing and speeds up image production for large catalogs.
  • Typical outcome: A spreadsheet-driven workflow where users update product attributes in Excel and BRIA AI generates matching visuals at scale.

2. AI Generated Image Results Exported Back to Excel for Review and Approval

After BRIA AI creates image variants, the output metadata such as asset ID, SKU mapping, version number, style type, and approval status can be exported to Excel for business review. Merchandising, brand, and legal teams can use Excel to compare versions, add comments, and track approvals before final publishing.

  • Data flow: BRIA AI to Microsoft Excel
  • Business value: Improves governance and gives non technical stakeholders a familiar review format.
  • Typical outcome: A controlled approval sheet that tracks which AI generated assets are ready for use.

3. Excel Driven Campaign Variant Matrix for A/B Testing Visuals

Digital marketing teams often plan test matrices in Excel, defining combinations such as background color, lifestyle setting, product angle, and audience segment. These structured test plans can be imported into BRIA AI to generate consistent creative variants for A/B testing across ads, landing pages, and marketplaces.

  • Data flow: Microsoft Excel to BRIA AI
  • Business value: Enables systematic creative testing and faster production of controlled experiment sets.
  • Typical outcome: A repeatable process for generating multiple image versions from a single test plan.

4. Product Catalog Enrichment with AI Generated Imagery

Merchandising teams can use Excel to maintain a product catalog with missing or outdated image references, then send the list to BRIA AI to create updated visuals, alternate angles, or contextual lifestyle images. The enriched image references can be returned to Excel and then loaded into downstream systems such as PIM, DAM, or e-commerce platforms.

  • Data flow: Microsoft Excel to BRIA AI and BRIA AI to Microsoft Excel
  • Business value: Improves catalog completeness and reduces dependency on expensive photo shoots.
  • Typical outcome: A cleaner product master file with AI generated image links and status fields ready for system import.

5. Regional Localization of Product Visuals Using Excel Market Rules

Global brands often manage localization requirements in Excel, including country, language, seasonal context, and cultural preferences. That spreadsheet can drive BRIA AI to produce region specific product imagery, such as different backgrounds, settings, or promotional styles for each market.

  • Data flow: Microsoft Excel to BRIA AI
  • Business value: Supports faster localization without creating separate creative briefs for every market.
  • Typical outcome: Market specific image sets generated from a single structured Excel template.

6. Creative Operations Tracking and Production Status Reporting

Creative operations teams can use Excel as a production tracker for BRIA AI requests, including request date, asset owner, SKU, generation status, revision count, and final delivery date. BRIA AI can update the spreadsheet with completion status and asset links so teams can monitor throughput and bottlenecks.

  • Data flow: Bi directional
  • Business value: Improves visibility into creative production queues and helps teams manage workload.
  • Typical outcome: A live operational tracker for AI assisted image production.

7. Bulk Quality Control and Exception Management for Generated Assets

Once BRIA AI generates a large set of images, quality assurance teams can export asset details into Excel to flag exceptions such as incorrect product association, inconsistent background, missing transparency, or brand guideline violations. Corrected rows can then be sent back to BRIA AI for regeneration or adjustment.

  • Data flow: BRIA AI to Microsoft Excel and Microsoft Excel to BRIA AI
  • Business value: Creates a structured review loop that improves asset quality at scale.
  • Typical outcome: Faster identification and correction of problematic visuals before publication.

8. Offline Reporting on AI Content Production and Campaign Performance

Organizations can export BRIA AI asset generation data into Excel to analyze production volume, turnaround time, usage by channel, and performance by creative variant. This helps leadership teams compare content output against campaign results and make better decisions about future creative investment.

  • Data flow: BRIA AI to Microsoft Excel
  • Business value: Enables reporting and analysis without requiring direct access to the creative platform.
  • Typical outcome: Executive dashboards and operational reports that connect AI content production to business outcomes.

How to integrate and automate Excel with BRIA AI using OneTeg?