New solutions from Commerce, parent company of BigCommerce and Feedonomics, aim to bridge the gap between product data and the burgeoning capabilities of generative AI, empowering both B2B and B2C merchants to unlock new levels of customer engagement and operational efficiency.
[City, State] – [Date] – In a significant move to prepare businesses for the evolving landscape of artificial intelligence in e-commerce, Commerce has launched two innovative AI-powered tools designed to dramatically enhance product catalog data. The new offerings, Feedonomics Enrichment and BigCommerce Catalog Enrichment, are poised to revolutionize how merchants present their products to consumers and business buyers alike, enabling seamless integration with emerging AI discovery and shopping agents.
These "agentic commerce solutions," as Commerce describes them, are built to transform raw product information into rich, structured data that AI systems can readily understand and leverage. This enhanced data pipeline is crucial for facilitating "agentic shopping experiences," where AI agents can proactively assist customers in finding, comparing, and even purchasing products.
"AI agents can only answer questions about your products as well as your data allows," stated Sharon Gee, Senior Vice President of Product for AI at Commerce. "Whether you’re a marketer driving AEO or a product leader building shopping agents, better data is the foundation for better agentic experiences. Feedonomics Enrichment and BigCommerce Catalog Enrichment give brands on any platform a data pipeline that lifts performance everywhere agents meet shoppers from Google to OpenAI and on their own sites and agents."
The strategic release addresses a growing demand from merchants, particularly those deeply entrenched in B2B and enterprise retail, who are witnessing consumers and B2B buyers increasingly turning to AI for product comparisons, information retrieval, and, more recently, direct purchasing. Commerce, the parent company of BigCommerce, Feedonomics, and Makeswift, is strategically positioning itself at the forefront of this AI-driven transformation.
Supporting Data Highlights Commerce’s Market Influence:
The significance of Commerce’s platform is underscored by its substantial market presence. Retailers utilizing Commerce as their e-commerce platform in 2025, as tracked by the prestigious Top 2000 Database, collectively generated over $538 billion in online sales. The Top 2000 Database, a critical market research tool, meticulously tracks North America’s largest online retailers by annual web sales and the leading technology vendors powering their e-commerce operations. This data provides a compelling backdrop for the introduction of these new AI-centric tools, demonstrating Commerce’s deep understanding of the needs of high-volume e-commerce businesses.
Revolutionizing Product Data for AI Discovery
At their core, Commerce’s new enrichment tools are designed to transform existing product information into a more robust, consistent, and AI-interpretable format. Both Feedonomics Enrichment and BigCommerce Catalog Enrichment are engineered to generate a comprehensive suite of enhanced data points, including:
- Structured Attributes: Transforming unstructured descriptions into standardized, categorized attributes that AI can easily parse and utilize for filtering and comparison.
- Detailed Specifications: Extracting and organizing technical specifications, dimensions, materials, and other crucial product details.
- Key Features: Identifying and highlighting the most important features and benefits of a product.
- Rich Media Links: Ensuring that images, videos, and other multimedia assets are correctly linked and accessible.
Beyond these foundational elements, the tools also produce vital "facts," "snippets," and "question-and-answer (Q&A)" fields. These specific data constructs are instrumental for generative AI platforms, enabling them to accurately interpret what a product is, pinpoint its target audience, and determine its relevance to a particular user’s query or need.
The enrichment process meticulously crafts complete product records. This ensures that human shoppers and AI agents alike receive consistent and accurate details across all touchpoints, whether it be a brand’s own storefront, third-party marketplaces, search engines, or emerging AI answer engines. Critically, this integrated approach eliminates the cumbersome need for manual CSV exports and the reliance on disparate third-party tools, streamlining the entire data management workflow.
Sharon Gee elaborated on the scale of this challenge, citing an example where a retailer might need to translate its footwear catalog into 15 different languages. Historically, each of these translations would need to be meticulously prepared and delivered to a multitude of channels, including:
- Marketplaces: Amazon, eBay, Walmart, etc.
- Search Engines: Google Shopping, Bing Shopping.
- Advertising Platforms: Google Ads, Meta Ads.
- Internal E-commerce Sites: BigCommerce, Shopify, Magento.
- Comparison Shopping Engines.
"Now, in addition," Gee emphasized, "retailers also need to send those translations to answer engine channels such as ChatGPT, Claude, CoPilot, Gemini, and Perplexity. You need to be able to have UCP [Unified Commerce Platform] support for each of them. It’s a one-to-many problem – scale."
This highlights the core value proposition of Commerce’s new tools: providing a unified and scalable solution to meet the multi-channel, multi-format data demands of the modern AI-powered e-commerce ecosystem.
Tailored Solutions for Diverse Merchant Needs
Understanding that different businesses have varying operational capacities and preferences, Commerce has introduced flexibility in its enrichment offerings. The BigCommerce Catalog Enrichment tool empowers merchants to make self-serve enhancements to their product content directly within the BigCommerce platform. This offers a user-friendly experience for businesses seeking greater control and agility.
For businesses leveraging the Feedonomics platform, the Feedonomics Enrichment tool provides a more comprehensive set of options, catering to both self-managed and fully managed-service models. This allows businesses to choose the level of support that best aligns with their internal resources and expertise, ensuring that every merchant, regardless of size or technical proficiency, can benefit from advanced AI-driven data enrichment.
The Growing Importance of B2B and Hybrid Commerce Solutions
Commerce’s appeal extends significantly to the B2B sector, a segment that often presents more complex data and transactional requirements than B2C. Merchants are increasingly turning to Commerce not only for its robust B2C capabilities but also for its dedicated technology and tooling designed to address the unique challenges of B2B commerce.
Gee further highlighted the growing trend of hybrid businesses – those serving both B2B and B2C customers. These businesses, she noted, often require a high degree of flexibility and composability within their technology stacks to effectively cater to diverse customer segments and their distinct purchasing behaviors.
"It’s fairly trivial to sell things online anymore," Gee remarked. "That’s a well-solved problem over the past two decades. There are many use cases that have not been solved well yet."
One such persistent challenge in B2B is the manual processing of purchase orders, which can often contain thousands of line items. This manual data entry is not only time-consuming but also prone to errors, detracting from valuable human resources. Commerce’s innovative Purchase Order Agent exemplifies their commitment to solving these complex, yet common, B2B pain points. This AI agent can process a PDF purchase order and automatically build a shopping cart in a fraction of the time it would take a human, typically mere minutes compared to hours.
"Now those humans could get back to doing human work instead of rote, nasty data entry that is super manual that doesn’t actually add more value," Gee explained. This re-allocation of human capital to higher-value tasks is a key benefit of integrating AI-powered solutions like those offered by Commerce.
The Future of Commerce: Agentic AI and Data Foundation
The launch of Feedonomics Enrichment and BigCommerce Catalog Enrichment signals Commerce’s strategic vision for the future of e-commerce. By focusing on the foundational element of product data, the company is enabling merchants to harness the full potential of agentic AI. This means moving beyond simple chatbots to sophisticated AI agents that can understand context, anticipate needs, and facilitate complex transactions.
The implications are far-reaching. For consumers, this translates to more personalized, efficient, and intuitive shopping experiences. For B2B buyers, it means streamlined procurement processes, reduced administrative burdens, and faster access to critical product information. For merchants, it offers a pathway to increased sales, improved customer loyalty, and enhanced operational efficiency.
As AI continues its rapid evolution, the quality and structure of product data will become an even more critical differentiator. Commerce’s proactive investment in AI-powered enrichment tools positions its merchants to not only keep pace with this evolution but to lead the charge in defining the next generation of e-commerce interactions. The company’s commitment to providing robust, scalable, and intelligent solutions underscores its dedication to empowering businesses in an increasingly AI-centric marketplace.
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