DaVinci Commerce Debuts Agentic BrandStore, Backed by Accenture

DaVinci Commerce (formerly Jivox) announced the launch of Agentic BrandStore on March 23 at an event in Las Vegas, alongside a strategic investment and global partnership with Accenture. The product creates branded, conversational shopping experiences inside large language models like ChatGPT, Gemini, and Claude.

The pitch is pointed. As AI assistants become the first touchpoint for product discovery, brands risk being reduced to generic data points in an environment where purchasing decisions default to price and availability. DaVinci Commerce wants to be the layer that gives brands personality, governance, and conversion power inside those AI conversations.

"AI is becoming the new storefront," said Diaz Nesamoney, Founder and CEO of DaVinci Commerce, per the company's press release. "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."

That statistic about traffic deserves attention. According to Adobe Analytics, traffic from generative AI platforms surged 693% year over year in 2025. Separately, 40% of consumers had used AI for shopping assistance that year. The behavior shift is real, accelerating, and creating urgency for brands that haven't figured out their AI commerce strategy.

DaVinci Agentic BrandStore isn't a chatbot. It's a platform that transforms existing brand assets into conversational, AI-native shopping experiences deployed across multiple LLM ecosystems. The system has four core components, according to the company's announcement:

The Answer Agent orchestrates multi-turn conversations, curates brand content into trusted responses, and guides shoppers from discovery to purchase while maintaining brand voice and guardrails. Think of it as the conversation manager that ensures an AI assistant talks about your brand the way your brand guidelines require. It doesn't just answer questions. It shapes the narrative.

Content Agents pull from Product Information Management (PIM) systems, Digital Asset Management (DAM) platforms, website content, product detail pages, feeds, and user-generated reviews. They restructure this content for AI-native delivery, converting static product data into dynamic, conversational assets that respond to shopper intent in real time.

Commerce Agent handles the transaction layer, including local store locations, handoffs to eCommerce checkout, and integration with emerging agentic commerce protocols like ACP and UCP. This is where the shopping experience connects to actual revenue: a seamless path from conversation to conversion.

Self-Learning Discovery Engine maps shopper intent and optimizes performance continuously without manual intervention. Over time, the system learns which content and conversation paths drive the highest engagement and conversion rates.

The platform also includes BrandStore Studio, which lets marketing teams customize how the storefront behaves: what questions it answers, how it answers them, and what content gets fetched or generated in response. This is the brand governance layer, critical for enterprise clients managing regulatory requirements, competitive claims, or age-gated products.

DaVinci Commerce's governance framework supports brand voice control, claim validation, age gating, responsible messaging, and auditability. For regulated industries like alcohol (Diageo is a customer), pharmaceuticals, or financial services, these aren't nice-to-have features. They're requirements.

The platform's omni-LLM architecture allows brands to deploy once and activate across multiple AI ecosystems without vendor lock-in. That's a significant differentiation from platform-native solutions that work only within a single AI environment.

Accenture's investment is undisclosed in amount but strategic in scope. Through the partnership, Accenture will integrate DaVinci Commerce into its commerce, data, and AI transformation offerings for enterprise clients globally.

The partnership gives DaVinci Commerce access to Accenture's massive client base, which includes many of the world's largest CPG companies, retailers, and consumer brands. For Accenture, it's a bet on the emerging category of AI commerce platforms at a moment when its consulting competitors are making similar moves. Deloitte, McKinsey, and WPP have all announced AI commerce initiatives in 2025 and 2026.

DaVinci Commerce counts Nestle, Diageo, Giant Eagle, and Nordstrom among its existing customers. The Accenture deal could significantly expand that roster by embedding DaVinci Commerce into large-scale digital transformation engagements.

Here's the core problem DaVinci Commerce is solving. When a consumer asks ChatGPT "What's the best running shoe for flat feet?" the AI assembles an answer from its training data and any connected commerce sources. Without intervention, the response is likely to surface multiple brands in a neutral comparison, emphasizing price and availability over brand story, quality differentiation, or lifestyle positioning.

For brands that have invested decades in building preference through storytelling, design, and experience, this represents a fundamental loss of control. The AI environment strips away many of the signals that create brand affinity in traditional retail and eCommerce. Logo placement, shelf position, packaging design, in-store merchandising. None of it translates to a text conversation.

DaVinci Agentic BrandStore attempts to restore that control by creating a branded layer within the AI conversation. When a consumer interacts with a brand's BrandStore inside ChatGPT, they get curated content, personalized recommendations, and a guided path to purchase rather than a generic product comparison. The brand gets to tell its story on its terms, even in an AI environment.

An underappreciated element of the platform is its analytics layer, which captures what DaVinci Commerce calls "zero-party conversational intent data." When a shopper engages in a multi-turn conversation with a BrandStore, every question, preference, and decision signal is captured. This is richer intent data than typical eCommerce clickstream analytics provide, and it's first-party data owned by the brand.

For CMOs and data teams, this could be valuable input for product development, messaging optimization, and audience segmentation. If thousands of consumers are asking your BrandStore about a specific use case or feature you don't currently market, that's a signal worth capturing.

The concept is compelling. The execution raises questions.

First, it's unclear how many consumers will interact with branded storefronts inside ChatGPT versus simply accepting the AI's default recommendations. The value proposition depends on consumers choosing to engage with a brand's BrandStore, which requires either prominent placement within the AI interface or habitual behavior that doesn't exist yet.

Second, the "commerce experience platform" category is new and unproven at scale. DaVinci Commerce is essentially asking enterprises to invest in a channel that didn't exist 18 months ago. Early adopters may benefit from first-mover advantage, but they're also absorbing all the risk of an immature ecosystem where user behavior patterns are still forming.

Third, the competitive landscape is already getting crowded. Shopify is building its own agentic storefronts inside ChatGPT. Google is pushing AI commerce tools through its own platform. Meta is developing AI shopping experiences within its ecosystem. DaVinci Commerce's omni-LLM approach is differentiated, but it'll face pressure from platform-native solutions backed by companies with larger engineering teams and deeper pockets.

One unexpected detail: DaVinci Agentic BrandStore was recognized as one of the Top 50 innovations at the National Retail Federation Innovators Showcase in January 2026, beating out submissions from much larger companies. NRF recognition suggests retail industry validation beyond just the AI hype cycle.

The immediate question is adoption velocity. How quickly can DaVinci Commerce deploy BrandStores for major enterprise clients through the Accenture partnership? If Nestle or Diageo launch visible, high-traffic BrandStores inside ChatGPT in Q2 2026, it validates the model with tangible evidence. If deployments remain limited to demos and pilot programs through the end of the year, the category may be ahead of market readiness.

Protocol wars matter here too. DaVinci Commerce integrates with agentic commerce protocols like ACP and UCP. These protocols are still emerging, and which ones become dominant will determine the interoperability landscape for AI commerce platforms. If a single protocol wins, platforms that bet on the right one gain significant advantage.

The Accenture partnership could be the defining variable. Accenture's ability to drive enterprise adoption of new technology through its consulting relationships is well documented and historically effective. If Accenture makes DaVinci Commerce a standard recommendation in its commerce transformation engagements, the category could reach critical mass faster than organic adoption would allow.

For CMOs evaluating their AI commerce strategy in 2026: the question is no longer whether to show up in AI conversations about your products. The question is whether you show up on your terms or on the AI's terms. DaVinci Commerce is betting the answer matters enough to build a platform around it.

Image Credits: Jiri Matejicek