NEW YORK — April 16, 2026
Executive Summary
VTEX has announced a major evolution of its technology architecture, placing artificial intelligence at the core of its digital commerce platform as part of VTEX Vision 2026, unveiled at VTEX Day. The company introduced a fully AI-native commerce suite designed to automate operations, enhance customer experiences, and expand monetization capabilities across commerce, customer experience, and advertising functions.
The announcement introduces a unified infrastructure spanning B2B and B2C operations, integrating autonomous AI agents across the VTEX Commerce Platform, VTEX CX Platform, and VTEX Ads Platform. The launch includes innovations such as the VTEX AI Workspace, AI-powered storefronts, AI quotation tools, and Google Universal Commerce Protocol (UCP) integration, positioning VTEX’s platform to support conversational, automated, and data-driven commerce experiences across channels. The company stated that the new architecture is designed to improve operational efficiency, accelerate growth, and enable scalable digital commerce execution across global markets.
Announcement Overview
VTEX has formally introduced a comprehensive transformation of its platform into an AI-native commerce suite, embedding artificial intelligence across its entire operational stack. The update reflects a structural shift in how digital commerce systems are designed, transitioning from software-driven workflows to AI-driven, autonomous operations.
Unveiled during VTEX Vision 2026, the initiative establishes a foundation where AI is not limited to supporting functions but operates as a core architectural layer, influencing decision-making, execution, and customer interactions across commerce environments. The platform is designed to support automation, personalization, and monetization across multiple touchpoints, including product discovery, transactions, post-sale engagement, and advertising.
The announcement also highlights VTEX’s continued focus on integrated commerce ecosystems, where infrastructure, customer experience, and revenue-generation capabilities are unified within a single platform. The company indicated that this approach enables businesses to manage complex digital commerce operations through coordinated AI systems while maintaining consistency across channels and markets.
Key Announcement Details
VTEX Vision 2026 Announcement Context and Event Framework
- Announcement Type: AI-native commerce suite launch and platform architecture evolution
- Announcement Date: April 16, 2026
- Announcement Location: New York, United States
- Event Name: VTEX Vision 2026
- Event Platform: VTEX Day
- Announcement Trigger: Public unveiling of next-generation commerce capabilities
- Company Identity: VTEX (NYSE: VTEX), global digital commerce solutions provider
- Core Transformation: Transition to an AI-native commerce suite architecture
- Access to Full Launch Details: Available via VTEX Vision 2026 product launch materials
Core Technology Evolution and AI-Centric Architecture
- Architectural Shift: AI positioned as the central operational layer across the platform
- Technology Model: AI-native commerce suite integrating autonomous systems
- Operational Transformation: Movement from tool-based AI usage to AI-driven core operations
- Workflow Execution: Automated through autonomous AI agents
- Decision Framework: AI-enabled real-time decision-making across workflows
- Interaction Model: Conversational commerce interfaces powered by AI
- Business Objective: Optimize every interaction, decision, and workflow
- Operational Outcome: Enable teams to focus on strategic activities
- Customer Experience Goal: Deliver agile and personalized experiences
Strategic Objectives and Business Outcomes
- Primary Objective: Automate commerce operations at scale
- Secondary Objective: Personalize customer interactions across all touchpoints
- Tertiary Objective: Expand advertising monetization capabilities
- Efficiency Goal: Reduce operational complexity
- Growth Objective: Accelerate revenue growth and operational scalability
- Competitive Positioning Goal: Convert operational complexity into competitive advantage
- Execution Strategy: Integrate strategy, execution, and AI across commerce lifecycle
VTEX Commerce Platform: AI-Native Commerce Operating System
Platform Core Characteristics
- Platform Type: AI-native commerce operating system
- Operational Mode: Conversational system with autonomous execution
- Core Architecture: Layer of specialized autonomous agents
- Functional Scope: End-to-end commerce operations across digital environments
- Agent Coordination: Independent and coordinated execution across workflows
VTEX AI Workspace
- System Type: AI-native operating system
- Core Function: Enhance decision-making capabilities
- Cost Impact: Reduction of operational costs
- Operational Mechanism: Autonomous AI agents embedded across business functions
- Workflow Scope: Cross-functional operational orchestration
AI Storefronts with Personal Shopper
- Agent Type: AI personal shopper agents
- Interaction Model: Conversational engagement with users
- Search Capability: Semantic search for contextual discovery
- Recommendation Engine: AI-driven product suggestions
- Conversion Objective: Increase purchase conversion rates
B2B Commerce with AI Quotation
- Quotation Capability: Automated quote generation
- Input Channels: File uploads and voice inputs
- Sales Impact: Acceleration of sales cycles
- Conversion Impact: Improved B2B transaction conversion rates
Google UCP Integration (United States)
- Integration Geography: United States
- Protocol Name: Universal Commerce Protocol (UCP)
- Discovery Channel: Google AI environments
- AI Platforms Supported: Gemini and Google AI Mode
- Checkout Capability: Native checkout within AI interfaces
- Cart Functionality: Native cart synchronization across systems
VTEX AI Developer Toolkit
- Toolkit Purpose: Accelerate AI-driven development
- Assistant Capability: AI assistants connected to VTEX knowledge base
- Development Environments Supported: Cursor, Copilot, Claude, OpenCode
- Developer Benefit: Faster implementation of AI-powered commerce features
VTEX CX Platform: AI-Orchestrated Customer Experience
Platform Scope and Operational Model
- Platform Purpose: Redefine customer experience through AI
- Operational Model: Autonomous AI agents acting independently and in coordination
- Journey Coverage: Discovery, purchase, and post-sale support
- Experience Model: Continuous, AI-managed customer journey orchestration
Agentic Multichannel Experience
- Supported Channels: Web, WhatsApp, messaging platforms
- Customer Interaction: AI-guided discovery and purchase processes
- Coordination Model: Cross-channel agent collaboration
Autonomous Post-Sales Operations
- Processes Covered: Order status, exchanges, returns
- Automation Level: Over 91% AI-assisted automation
- Operational Impact: Reduction of manual customer support workloads
WhatsApp Store
- Platform Integration: WhatsApp
- Commerce Capability: End-to-end shopping within messaging environment
- Functional Coverage: Product browsing, purchasing, and support interactions
Voice Commerce
- Interaction Mode: Real-time voice-based communication
- Use Cases: Product purchase and customer support
- Technology Integration: Voice-enabled commerce workflows
VTEX Ads Platform: AI-Powered Retail Media and Monetization
Platform Overview and Revenue Model
- Platform Purpose: Enable monetization of digital commerce environments
- Revenue Model: Retail media transformation
- Operational Scope: Advertising and campaign management
AI Campaign Management
- Campaign Capability: Creation and optimization of multichannel campaigns
- Optimization Basis: Alignment with defined business goals
- Performance Outcome: Improved Return on Ad Spend (ROAS)
AI Insights for Brands
- Data Visibility: Campaign performance tracking
- Metrics Coverage: Attribution and market share insights
- Decision Support: Data-driven campaign optimization
Google Collaboration and Universal Commerce Protocol Details
- Partner Company: Google
- Executive Representative: Ashish Gupta, VP/GM of Merchant Shopping
- Protocol Objective: Standardized connection between AI agents and platforms
- Integration Goal: Seamless interoperability across web-based commerce systems
- Ecosystem Impact: Enable scaling of agentic commerce
- Consumer Impact: Unlock new AI-driven shopping experiences
Leadership Statements and Executive Perspective
- Executive Name: Geraldo Thomaz
- Position: Founder and Co-CEO
- Statement Focus: AI transitioning from tool to operational core
- Operational Vision: Automatic optimization of interactions, decisions, and workflows
- Organizational Impact: Shift of teams toward strategic activities
- Executive Name: Mariano Gomide de Faria
- Position: Founder and Co-CEO
- Statement Focus: AI delivering measurable growth outcomes
- Strategic Objective: Transform operational complexity into competitive advantage
- Future Outlook: Commerce defined by integration of strategy, execution, and AI
Unified Infrastructure and Platform Integration
- Infrastructure Type: Single, unified AI-native infrastructure
- Functional Integration: Commerce, customer experience, and advertising
- Operational Coverage: B2B and B2C digital commerce environments
- Execution Model: Coordinated AI agents across systems
- Scalability Capability: Support for global commerce operations
Platform Ecosystem and Product Architecture
- Commerce Platform: Core commerce operations engine
- Retail Media Platform: Advertising and monetization infrastructure
- Agentic CX Platform: Customer experience orchestration system
- System Integration: Multi-product ecosystem unified under single architecture
VTEX Solution Portfolio and Functional Capabilities
- B2C Omnichannel Commerce: Unified consumer commerce across channels
- B2B Commerce: Enterprise-level commerce solutions
- Agentic Customer Service: AI-driven customer support
- WhatsApp Store: Messaging-based commerce solution
- Distributed OMS: Order management system
- Marketplace Enablement: Marketplace infrastructure capabilities
Customer Base, Scale, and Global Operations
- Customer Base Size: 2,200 B2C and B2B customers
- Representative Clients: Carrefour, Colgate, Sony, Stanley Black & Decker, Whirlpool
- Global Reach: Operations across 44 countries
- Digital Store Count: 3,100 online stores
- Reporting Period: Fiscal year data as of December 31, 2025
Corporate Structure and Platform Evolution
- Company Type: AI-native digital commerce suite provider
- Platform Evolution: Transition from standalone software to connected ecosystem
- Operational Objective: Eliminate friction in commerce processes
- Business Goal: Orchestrate operations across commerce lifecycle
- Growth Focus: Accelerate sustainable digital commerce growth
Additional Access and Reference Information
- Product Launch Access: Full VTEX Vision 2026 product launch details accessible via official channels
- Official Website: www.vtex.com
AI at the Core of Digital Commerce Architecture
VTEX stated that the latest evolution positions AI as the central operational layer across its platform, redefining how workflows, decisions, and customer interactions are executed.
According to the company, the transition to an AI-native ecosystem means that processes traditionally handled manually or through rule-based systems are now managed through autonomous AI agents. These agents are designed to operate conversationally, interpret data contextually, and execute actions across systems without requiring continuous manual intervention.
The architecture supports:
- Automated decision-making across commerce workflows
- Real-time personalization of customer experiences
- Continuous optimization of operations and campaigns
- Scalable infrastructure for multi-channel commerce environments
The company emphasized that this model allows organizations to shift focus from operational execution to strategic planning, with AI handling routine and complex processes across the commerce lifecycle.
Leadership Statements on AI-Native Transformation
Geraldo Thomaz, Founder and Co-CEO of VTEX, stated:
“AI has evolved from just a tool to become the very core of the operation. With this launch, we are transitioning to a fully AI-native ecosystem. Our goal is for every interaction, every decision, and every workflow to be automatically optimized, freeing up teams to focus on strategic activities and delivering a more agile and personalized customer experience.”
Mariano Gomide de Faria, Founder and Co-CEO of VTEX, added:
“With VTEX Vision 2026, we are turning AI into tangible results, empowering businesses to convert operational complexity into a competitive advantage and measurable growth. The next generation of commerce will be defined by those who can unite strategy, execution, and AI across the entire journey, and we are leading the charge.”
These statements outline the company’s focus on integrating AI into all operational layers, with an emphasis on automation, efficiency, and measurable outcomes.
Announced Today: The AI-Native Commerce Suite
VTEX introduced a comprehensive suite of AI-driven capabilities across its three primary platforms. These updates are structured to operate within a unified infrastructure while addressing distinct aspects of digital commerce operations.
VTEX Commerce Platform: AI-Native Operating System for Commerce
The VTEX Commerce Platform has been introduced as an AI-native commerce operating system designed to function through conversational interfaces and autonomous agents.
Core Capabilities
- Conversational commerce operations enabled through AI-driven interactions
- Integration of specialized autonomous agents across workflows
- Support for both B2C and B2B commerce environments
- Real-time execution of commerce processes without manual intervention
VTEX AI Workspace
The VTEX AI Workspace is described as an AI-native operating system that enhances decision-making and reduces operational costs through autonomous agents.
Key functionalities include:
- AI-assisted decision-making across business operations
- Reduction of manual processes and operational overhead
- Centralized interface for managing AI-driven workflows
AI-Powered Storefronts with Personal Shopper
The platform introduces AI agents acting as personal shoppers, combining:
- Conversational interactions
- Semantic search capabilities
- Personalized product recommendations
These features are designed to support customer engagement and conversion optimization.
B2B Commerce with AI Quotation
The AI quotation system enables businesses to:
- Generate quotes from uploaded files or voice inputs
- Accelerate sales cycles
- Improve conversion efficiency in B2B transactions
Google UCP Integration (U.S.)
Integration with Google Universal Commerce Protocol (UCP) enables:
- Product discovery and checkout within Google AI environments, including Gemini
- Native cart synchronization across platforms
- Seamless interaction between AI agents and commerce systems
VTEX AI Developer Toolkit
The AI Developer Toolkit provides tools for developers, including:
- AI assistants connected to VTEX platform knowledge
- Integration with development environments such as:
- Cursor
- Copilot
- Claude
- OpenCode
This toolkit is designed to accelerate development workflows and implementation of AI-driven features.
VTEX CX Platform: AI-Driven Customer Experience
The VTEX CX Platform introduces AI agents designed to operate across the entire customer journey, from discovery to post-sale engagement.
Agentic Multichannel Experience
AI agents support interactions across:
- Web platforms
- Messaging channels
These agents guide customers through:
- Product discovery
- Purchase decisions
- Transaction processes
Autonomous Post-Sales Operations
The platform supports automated handling of:
- Order status inquiries
- Exchanges and returns
The company stated that these processes achieve over 91% AI-assisted automation, reducing manual workload.
WhatsApp Store
The WhatsApp Store enables:
- End-to-end shopping experiences within the WhatsApp platform
- Integration of browsing, purchasing, and support functionalities
Voice Commerce
Voice-enabled capabilities allow:
- Real-time interactions for purchases
- Voice-based customer support
- Integration of voice interfaces into commerce workflows
VTEX Ads Platform: Retail Media and Revenue Expansion
The VTEX Ads Platform focuses on enabling retailers to transform their digital environments into revenue-generating media assets.
AI Campaign Management
AI-driven campaign tools enable:
- Creation and optimization of multichannel advertising campaigns
- Alignment with business objectives
- Improvements in Return on Ad Spend (ROAS)
AI Insights for Brands
The platform provides:
- Visibility into campaign performance
- Attribution tracking
- Insights into market share dynamics
These capabilities are designed to support data-driven decision-making for brands and retailers.
Google Collaboration and Universal Commerce Protocol
Ashish Gupta, VP/GM of Merchant Shopping at Google, commented on the integration:
“Our goal with the Universal Commerce Protocol is to establish a standardized, seamless connection between AI agents and platforms across the web. By collaborating with platforms like VTEX, we are together helping agentic commerce scale, and unlocking entirely new shopping experiences for consumers.”
The collaboration reflects efforts to create standardized connections between AI systems and commerce platforms, enabling broader interoperability across digital ecosystems.
Unified Infrastructure Across Commerce, CX, and Ads
VTEX emphasized that the AI-native suite operates on a single infrastructure, integrating:
- Commerce operations (B2B and B2C)
- Customer experience management
- Retail media and advertising capabilities
This unified approach allows businesses to manage multiple aspects of digital commerce within a coordinated system, ensuring consistency across operations and customer interactions.
The company stated that this structure supports:
- Operational efficiency through centralized systems
- Scalable deployment across markets and channels
- Integration of AI across all functional areas
About VTEX
VTEX is an AI-native digital commerce suite used by organizations globally to manage and scale digital commerce operations. The platform is designed to deliver operational efficiency and integrated commerce solutions, supporting both B2C and B2B environments.
VTEX provides a unified ecosystem that includes:
- Commerce Platform
- Retail Media Platform
- Agentic Customer Experience Platform
Its solutions include:
- B2C omnichannel commerce
- B2B commerce capabilities
- Agentic customer service
- WhatsApp Store integration
- Distributed Order Management System (OMS)
- Marketplace enablement tools
The platform supports organizations in orchestrating operations, reducing friction, and managing digital commerce processes across multiple channels.
VTEX is used by 2,200 B2C and B2B customers, including companies such as Carrefour, Colgate, Sony, Stanley Black & Decker, and Whirlpool, and operates 3,100 online stores across 44 countries, based on fiscal year data as of December 31, 2025.
Media Contact
For additional information, visit vtex.com.
Source Attribution
Source: Company announcement