Third-Party Integrated AI Systems

Virto’s API-first, composable architecture allows these AI services to plug into storefronts, portals, and back-office workflows, enabling businesses to deliver smarter search, deeper analytics, and faster UI innovation at scale.

Third-party integrated AI systems are available through Virto’s Commerce Innovation Platform—a composable, headless, PaaS eCommerce solution for B2B, B2C, and D2C.

AI-powered search, relevance, and content generation for enterprise commerce.

• AI & semantic search that understands intent, not just keywords
• Synonym detection & dynamic expansion for smarter recall
• Query categorization that maps intent to catalog structure
• Personalization & dynamic re-ranking based on user signals
• AI-generated buying guides & content for education and SEO

• Smarter Search & Reduced Friction: Queries like “stainless pipe 12mm bulk” are parsed into size, material, packaging, and mapped to the right SKUs — even across inconsistent supplier metadata. 

• Lower Merchandising Overhead: AI suggests synonyms, auto-classifies search intent, and re-ranks results — reducing the manual upkeep typically required for enterprise search. 

• Higher Conversion & AOV: More relevant results → fewer dead ends, better recommendations, and stronger cross-sell performance.

• Content & SEO Boost: AI-generated guides (e.g. “how to select grade steel”) enhance search pages and product detail pages, helping long-tail SEO and buyer education. 

• Full Transparency & Control: Business users can override rules, adjust relevance, and tune behaviors directly in Algolia dashboards.

AI-driven analytics and natural language insights built on Virto’s commerce data.

• Natural language queries (Copilot / Q&A) for instant charts from plain English
• AI Insights & pre-trained ML models for clustering, prediction, anomaly detection
• Forecasting & time series analysis to predict demand and trends
• Key Influencers & decomposition tools for understanding drivers behind KPIs
• “Prep Data for AI” tooling that improves Copilot interpretation and output quality

• Self-Serve Analytics for Business Teams: Merchants can ask questions like “orders last month by customer segment” and get visuals immediately — no SQL, DAX, or BI skill required.
• Faster Insights Across Commerce Data: Identify anomalies (e.g., sudden category drop), find performance drivers, and uncover correlations automatically.
• Better Decision Support: Product, marketing, and operations teams can test hypotheses interactively using AI-driven visuals.
• Stronger Virto AI Feedback Loops: Outputs from Virto’s AI (recommendations, intent mapping, PO capture) can feed BI models to validate and improve predictions.
• Embedded Dashboards in Virto Portals: Power BI visuals — including AI insights — can be surfaced inside Virto business portals for real-time data transparency.

AI-assisted design-to-code and rapid UI delivery for storefronts and portals.

• Figma → Code conversion into React, Angular, Vue, Flutter, and more
• Visual Copilot aware of tokens, components, and code context
• AI-generated UI sections / mini-apps from prompts
• Inline text and content generation inside the UI
• Responsive image generation & adaptation
• Production-grade, mergeable prototypes aligned with design systems

• Accelerated UI Delivery: Convert Figma designs directly into production-ready code — reducing design-to-dev handoff friction.
• Design System Consistency: AI works within tokens, components, and architectural constraints to avoid drift across teams and regions.
• Empower Non-Developers: Content teams, designers, and PMs can generate or update UI sections using prompts, without deep engineering skills.
• Rapid Prototyping & Iteration: Quickly test design variations, spin up landing pages, or experiment with new components.
• Maintainable, Real Code Output: Generated prototypes feed directly into the codebase — not throwaway mockups.

• Search & Discovery: Smarter, AI-driven retrieval leads to higher conversion and fewer navigation dead ends.
• Analytics & Decision-Making: Natural language insights and predictive analytics help teams act faster and more accurately.
• Design & UI Delivery: Automated design-to-code workflows reduce cost, accelerate iterations, and maintain UI consistency.
• Operational Efficiency: Lower manual effort across merchandising, BI analysis, UI creation, and catalog management.
• Scalability: AI systems adapt to multi-brand, multi-region, and multi-catalog environments common among Virto customers.