AI Built for Commerce, by Design

An AI ecommerce platform is one where AI capabilities are built into the platform’s core architecture as native functions. This means AI can assist with product discovery, content generation, order processing, and user experience across the entire commerce stack, with each module sharing context and data by design.

The most practical applications in B2B ecommerce include intent-based product search, automated product content generation, AI-assisted catalog categorization, smart order capture from unstructured purchase orders, personalized recommendations, and AI-guided storefront localization. Virto supports all of these as native platform capabilities.

Add-on AI tools sit outside the platform and require separate maintenance, separate integrations, and often separate vendor relationships. Virto’s commerce-first AI is embedded in the platform’s modules, so it has direct access to catalog data, order context, user roles, and business rules. This makes the AI significantly more accurate and useful than a generic external tool.

Yes. Virto is built specifically for enterprise and mid-market B2B commerce. Virto customers include global manufacturers, industrial distributors, and marketplace operators running across multiple regions, currencies, and fulfillment models. The platform is cloud-agnostic, Kubernetes-native, and designed for the compliance and security requirements of large organizations.

Virto’s Commerce Innovation Platform is a next-generation ecommerce platform that leverages the power of PaaS. Designed as a flexible foundation for digital innovation, it features a modular architecture, open APIs, full customization from backend to frontend, and a tech-agnostic approach. With Virto’s CIP, enterprises can build unique B2B models, marketplaces, and customer-facing solutions, integrate new technologies with ease, and quickly adapt to changing market demands.

Every module in Virto’s Commerce Innovation Platform is designed to be AI-ready. Rather than a single AI layer, each functional area, catalog, search, orders, UX, localization, has AI capabilities built into its data model and workflows. Virto also supports external AI services (Algolia, Power BI, Builder.io) through its composable API-first architecture, so teams can plug in best-in-class tools where needed.

In B2B, purchase orders frequently arrive as PDFs, spreadsheets, or emails, each formatted differently. For instance, Virto’s Smart PO-to-Order Capture reads those unstructured documents and extracts line items, product codes, and quantities automatically, creating validated order records ready for processing.

An intent-based search uses natural language understanding to map buyer queries to the right products, whether they search by exact product code, application, symptom, or informal term. This is particularly valuable in complex B2B catalogs with technical naming conventions, where search precision directly affects conversion rates and purchase confidence.