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Boost ecommerce with advanced marketing.
Virto's AI-driven intent-based search maps natural-language queries to the right SKUs—whether buyers search by symptom, application, informal term, or exact product code. AI recommendations surface what buyers can actually purchase, filtered by contract terms and account pricing.
Conversational buying turns plain-language requests into accurate carts with pricing and variants resolved automatically. AI Product Assistant answers product questions at the PDP before buyers commit.
AI copilot Virto OZ guides buyers through ordering and helps merchandisers, devs, and admins work faster across storefronts and back-office interfaces. AI-powered localization ships storefront UI and product content across languages in hours.
With Virto's AI content generator, catalog teams create product titles, descriptions, and attributes from minimal input—and onboard new suppliers in hours, not weeks. AI categorization classifies incoming SKUs at scale, with human review before anything publishes.
AI Smart Capture reads unstructured POs and converts them into validated order records automatically. Buyers can place orders by uploading PDFs, spreadsheets, emails, or EDI files—no manual re-entry.
Virto's composable, model-agnostic architecture connects to any AI of choice—OpenAI, Azure AI, Anthropic, or proprietary models.
AI-generated content enters a review queue—not the live catalog.
Virto's AI architecture is API-first and model-agnostic. Connect OpenAI, Azure AI, Anthropic, or proprietary models directly into commerce workflows. Every AI capability is exposed and extensible: swap models, adjust pipelines, or extend logic at the module level without rebuilding the platform.
Every output can be edited, approved, or discarded before publication.
AI usage is configurable per workflow: turn on, scope, or restrict at the module level.
AI operates on your catalog data and business rules, not shared training pools.
AI built for structured data, account-specific logic, and multi-supplier environments
Hundreds of supplier feeds arrive in different formats. AI normalizes, categorizes, and enriches incoming data before it reaches your catalog team.
AI applies account-specific pricing, approved assortments, and contract terms at the discovery layer—so every buyer sees only what's relevant and purchasable for their account.
Product data in industrial catalogs lives in spec sheets and engineering documents, not clean attribute fields. AI interprets it to power accurate search and recommendations where keyword matching fails.
Buyers submit informal or unstructured requests. AI maps them to valid SKUs, applies contract pricing, and routes to the appropriate approval workflow.
Most platforms treat AI as an add-on. In Virto, AI is part of the architecture.
Every part of the system, from catalog management to buyer-facing search to B2B order intake,
can be made more intelligent, automated, and context-aware.
Virto’s commerce-first AI is recognized by leading independent research agencies such as Gartner, Forrester, McFadyen Digital, IDC, and more.
Virto's AI is organized across three lanes—Experience, Operations, and Integration—each embedded into the workflows where B2B commerce actually runs, not sitting alongside them.
When a new supplier feed arrives, AI categorizes and maps attributes before your team reviews—not after.
Intent-based search and personalized recommendations help buyers find products faster across 10,000+ of SKUs.
AI generates content from spec sheets and localizes it for regional storefronts. Your team approves before anything goes live.
AI operates inside catalog onboarding, content enrichment, and purchasing workflows—not alongside them.
Team members review, approve, or reject every AI output before it reaches buyers or the live catalog.
Every AI-generated output is editable and rejectable before it affects the live system—essential in procurement-heavy and regulated environments.
Virto's AI isn't a layer added on top of commerce—it's part of how the platform is built.
Contract pricing, multi-supplier catalogs, account hierarchies, and approval workflows are first-class concerns—not edge cases.
AI operates inside catalog onboarding, order capture, and product discovery—reducing friction at specific process steps, not waiting to be invoked.
You're not locked in. Connect proprietary models, external services, or third-party AI pipelines through the same API-first architecture that governs the rest of the platform.
Every AI capability can be configured, extended, or replaced at the module level. No proprietary lock-in or black-box outputs.
The Virto Guarantee means we act as a true partner, working alongside you and your SI to ensure your solution is delivered right, fast, and on your terms.
We prove it works before you commit to scale.
We work with your SI to shape architecture aligned to your goals.
Extensible PaaS cloud-native infrastructure built on Kubernetes provides hosting & DevOps tools.
An AI ecommerce platform is one where AI capabilities are built into the platform's core architecture as native functions—not added as external tools. In Virto, AI operates within catalog management, product discovery, order processing, and buyer experiences, with each module sharing context and data by design.
When a new supplier feed arrives (in any format), AI maps incoming fields to your catalog taxonomy, generates product descriptions from raw spec data, and flags low-confidence assignments for human review. Your catalog team reviews exceptions and approves outputs before anything publishes. New suppliers onboard in hours, not weeks.
Yes. Virto's API-first, model-agnostic architecture supports connections to OpenAI, Azure AI, Anthropic, proprietary models, and external services like Algolia, Power BI, and Builder.io. Teams can bring existing AI investments and wire them into commerce workflows without rebuilding the platform.
AI-generated output (product descriptions, categorization decisions, enriched attributes) enters a review queue before it reaches the live catalog. Outputs can be edited, approved, or discarded. AI usage is configurable per workflow, so teams can scope or restrict AI at the module level.
Virto applies account-specific logic at the discovery and cart layer. Buyers see only products and pricing relevant to their contract terms and approved assortments. Recommendations respect purchasing permissions. Order capture validates against account-level rules before routing to approval.
Yes. AI capabilities can be enabled, scoped, or restricted at the module level. Teams can configure which workflows use AI assistance, what data AI can access, and what level of human review is required before outputs affect the live system.
Add-on AI tools operate outside the platform and require separate maintenance, integrations, and vendor relationships. Virto's AI is embedded in platform modules—it has direct access to catalog data, order context, user roles, and business rules. This makes it more accurate and operationally useful than a generic external tool applied to the same data.
The most practical B2B applications include intent-based product search, automated catalog content generation, AI-assisted categorization, smart order capture from unstructured purchase orders, contract-aware product recommendations, and AI-guided storefront localization. Virto supports all of these as native platform capabilities.