As generative AI rapidly becomes the new gateway for product discovery, brands are facing an unfamiliar challenge: how to maintain control over their identity inside AI-driven shopping environments.

To address that shift, DaVinci Commerce has launched DaVinci Agentic BrandStore, a new platform designed to create immersive, AI-native shopping experiences directly within large language model ecosystems.

The launch marks a significant step in the evolution of AI-powered commerce, enabling brands to embed curated product experiences and branded interactions into AI assistants and conversational interfaces.

The company also announced a strategic investment and global partnership with Accenture, aimed at helping enterprise brands deploy AI-driven shopping experiences at scale.

The innovation has already gained industry recognition, earning a spot among the Top 50 innovations at the 2026 Innovators Showcase during the National Retail Federation event, widely regarded as one of the retail industry's most influential technology showcases.

AI Is Becoming the New Storefront

Consumer behavior is shifting rapidly as AI assistants become the first stop for product research and shopping decisions.

According to data from Adobe Analytics, traffic from generative AI platforms surged 693% year over year in 2025, while roughly 40% of consumers used AI tools for shopping assistance during the same period.

This shift is forcing brands to rethink how they appear in digital environments increasingly mediated by AI.

Without direct control over their presence in these systems, brands risk becoming indistinguishable data points in AI responses, where product recommendations may prioritize price and availability rather than brand identity or storytelling.

DaVinci Commerce aims to change that dynamic by transforming traditional brand assets—such as product feeds, reviews, websites, and digital media—into conversational shopping experiences designed specifically for AI ecosystems.

“AI is becoming the new storefront,” said Diaz Nesamoney, founder and CEO of DaVinci Commerce. “The commerce infrastructure currently available in AI platforms enables AI to transact, but brands need a way to compete and differentiate in these new environments.”

Introducing the Commerce Experience Platform

At the heart of the launch is what DaVinci calls a Commerce Experience Platform (CEP)—a new category designed to bridge traditional e-commerce infrastructure with emerging AI commerce environments.

The platform converts brand content into dynamic, AI-native storefronts that operate inside conversational interfaces powered by major LLM ecosystems.

These storefronts can interact directly with consumers through natural language conversations, providing product recommendations, answering questions, and guiding shoppers toward purchase decisions.

Initially, the Agentic BrandStore experience will launch as an application inside ChatGPT, with plans to expand across other LLM platforms such as Google Gemini and Claude.

BrandStore Studio: Designing AI Storefronts

To help companies create these experiences, the platform includes BrandStore Studio, a development environment where brands can configure how their AI storefront behaves.

Within the studio, brands can define:

• Which customer questions the storefront should answer
• What content sources should be used to respond
• How responses should reflect brand voice and tone

The system also manages the DaVinci Commerce Answer Agent, which orchestrates conversations and determines how information should be presented to shoppers.

By combining curated content with conversational AI, the storefront becomes more than a simple chatbot—it acts as a guided shopping assistant tailored to each brand’s identity.

The Architecture Behind Agentic Commerce

The DaVinci platform is built around four major AI components designed to manage discovery, content, and transactions.

The Answer Agent

This agent handles multi-turn conversations with shoppers, ensuring that responses remain consistent with brand voice and guidelines. It also guides customers through the buying journey from product discovery to purchase.

Content Agents

Content Agents transform brand materials—including product data, digital assets, and user reviews—into structured information that AI systems can interpret and present dynamically.

These agents pull content from systems like Product Information Management (PIM), Digital Asset Management (DAM), and product detail pages.

Commerce Agent

The Commerce Agent connects AI conversations to real purchasing options. These can include:

• Links to e-commerce checkout systems
• Local store inventory and location data
• Emerging agentic commerce protocols, such as ACP and UCP

This allows AI storefronts to transition smoothly from conversation to transaction.

Self-Learning Discovery Engine

Finally, the platform includes a self-learning engine that analyzes shopper intent and continuously improves recommendations and experiences without manual intervention.

Over time, this system helps brands better understand customer preferences and refine their AI-powered shopping journeys.

Protecting Brand Identity in AI Ecosystems

One of the most significant risks in AI-driven commerce is the potential loss of brand control.

When AI assistants summarize product options, they may rely on fragmented or inconsistent data sources. That can lead to inaccurate claims, off-brand messaging, or recommendations that dilute brand differentiation.

DaVinci Commerce addresses this issue with a governance and compliance framework that allows brands to enforce rules around:

• Brand voice and messaging
• Product claim validation
• Responsible marketing guidelines
• Age restrictions and regulated product messaging
• Auditability and compliance tracking

The system also supports omni-LLM deployment, allowing brands to create a single experience that can operate across multiple AI ecosystems without vendor lock-in.

Accenture Partnership Expands Enterprise Reach

To accelerate adoption, DaVinci Commerce has partnered with Accenture, integrating the platform into the consulting giant’s broader AI, commerce, and digital transformation services.

Through this partnership, Accenture will help enterprise clients deploy AI-native shopping experiences across LLM ecosystems including ChatGPT, Gemini, and Claude.

Ndidi Oteh, CEO of Accenture Song, emphasized that AI-driven discovery is rapidly reshaping how consumers interact with brands.

“As people increasingly rely on AI-assisted recommendations and begin delegating decisions to intelligent agents, being discoverable is no longer enough,” Oteh said. “Brands must be relevant, personable, and ready to transact in agent-led environments.”

The Rise of Agentic Commerce

The launch reflects a broader shift toward agentic commerce, where AI assistants play an active role in recommending, evaluating, and even purchasing products on behalf of consumers.

In this environment, brands must compete not only for consumer attention but also for algorithmic representation within AI systems.

Platforms like DaVinci’s Agentic BrandStore are attempting to give brands tools to shape those interactions—ensuring that AI-driven shopping experiences reflect brand identity rather than generic product listings.

If the trend continues, the next frontier of e-commerce may not be traditional websites or marketplaces, but conversational storefronts embedded directly inside AI assistants.

For brands navigating this shift, the question is no longer whether AI will influence commerce—it’s how much control they’ll have over the experience.

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