Commerce Introduces Data Enrichment Tools for AI-Driven Discovery
News related to:Commerce · 2 min read
AUSTIN, Texas, Sept. 29, 2026 /CourierPR/ -- Commerce, the open commerce ecosystem, has introduced new data enrichment tools for BigCommerce and Feedonomics to help merchants prepare their product data for AI-driven discovery. These tools, Feedonomics Enrichment and BigCommerce Catalog Enrichment, are designed to transform product catalogs into richer, AI-ready data at scale, ensuring that products are accurately represented across various platforms and channels.
These new capabilities are part of Commerce's growing collection of agentic commerce solutions, which are designed to help merchants prepare their product data for agent-powered discovery, connect AI tools securely to their businesses, and enable new shopping and store management experiences.
The new enrichment tools generate product titles, descriptions, feature bullets, FAQs, and SEO metadata, providing a structured format that is easily interpretable by AI agents. This structured data is crucial for ensuring that products are accurately matched with shoppers, whether they are using Google, OpenAI, or their own websites. Additionally, the tools map content to a brand's own taxonomy, ensuring consistency and brand alignment.
Feedonomics Enrichment is particularly designed for enterprise and multichannel brands, enabling them to transform complex product catalogs into consistent, channel-ready content. Available through both self-managed and managed-service models, Feedonomics Enrichment allows merchants or their Feedonomics teams to configure and run enrichments through a native self-serve integration. The offering includes a merchant-facing quality scorecard that evaluates accuracy, consistency, and brand adherence, with an explainable issue list for anything that may require attention.
BigCommerce Catalog Enrichment, on the other hand, is designed to give merchants a native, self-serve way to enhance product content directly within the BigCommerce control panel. Merchants can select products, provide brand inputs, and generate titles, descriptions, feature bullets, FAQs, SEO metadata, and structured fields specifically designed to drive greater AI-driven performance. Guided workflows enable merchants to enrich thousands of products without leaving their store’s control panel, and generated content is evaluated using a proprietary quality scorecard focused on accuracy, consistency, and adherence to a merchant’s brand voice.
These new tools are part of Commerce's broader strategy to help businesses adapt to the AI-driven market. By improving the quality and structure of product data, these tools ensure that products are accurately represented across various platforms and channels, enhancing the overall shopping experience for consumers. As AI becomes increasingly prevalent in the retail landscape, these tools are essential for merchants looking to stay competitive and relevant.
In summary, Commerce's new data enrichment tools are designed to help businesses prepare their product data for AI-driven discovery, ensuring that products are accurately represented and matched with shoppers. These tools are part of a growing collection of agentic commerce solutions that are designed to help businesses adapt to the changing retail landscape.