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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.
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.
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.
Merchandising teams can use Excel to maintain a product catalog with missing or outdated image references, then send the list to BRIA AI to create updated visuals, alternate angles, or contextual lifestyle images.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.
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.
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.
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.
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.