AI product data and content for grocery ecommerce

Fill missing product attributes by extracting information from PDFs, spreadsheets, websites, and images.

Normalize values into consistent, structured attributes regardless of supplier format.

Automatically flag errors to support data governance and accuracy before publishing.

Apply product tags consistently across large sets of products based on defined rules and LoVs.

Classify products accurately across complex category hierarchies and taxonomies.

Manage taxonomies centrally to ensure consistent categorization across the catalog.

Manage SKUs and variants while accurately linking product data and assets.

Integrate with the existing ecommerce stack to keep data synchronized and up to date.

Enable seamless team collaboration with role-based access and approvals.

Replace backgrounds, resize, and crop images consistently across large catalogs to meet brand and channel standards.

Generate in-context product images, such as a coffee maker on a kitchen countertop, without manual photoshoots.

Upscale images by 2×, 5×, or 10× to improve clarity and support zoom requirements on PDPs.

Generate accurate, compliant product descriptions using structured product data.

Incorporate relevant and semantic keywords to support search and AI-driven discovery.

Ensure product content is aligned with brand and channel guidelines for every launch.