Welcome to the age of agentic commerce, where intelligent assistants are reshaping how consumers discover, evaluate and purchase products online. In this CommerceNext webinar, leaders from Viome, Full Glass Wine Co., Daydream and iAdvize came together to explore how this new model is transforming ecommerce from passive browsing to proactive buying—and what brands must do now to stay ahead.
What We Learned:
- AI shopping assistants are becoming the new storefront, and retailers need to adapt fast.
- “Browse and hope” is being replaced by “shop for me” expectations.
- Clean, structured data is critical for surfacing products in agent-driven journeys.
- Visual, conversational experiences outperform static chatbot interactions.
- Vertical expertise and trust are key to competing with generalist AI platforms.
Speakers:
- Aaron Magness, CMO, Full Glass Wine Co
- Eric Fong, Lead Product Manager, Daydream
- Ed Billmaier, Vice President of Customer Experience, Viome
- Mike de la Cruz, President, iAdvize
- Moderated by: Veronika Sonsev, Co-Founder, CommerceNext
Watch the replay here or read the recap below.
The AI Storefront Is Already Here
iAdvize opened the conversation with a bold claim: “Agentic commerce isn’t on the horizon—it’s already reshaping traffic patterns.”
Adobe data shows a surge in traffic to retail sites from AI assistants—a trend growing at a pace comparable to Moore’s Law, with generative AI-driven traffic doubling roughly every two months. What’s driving this shift? Consumers are no longer starting their shopping journeys with traditional search engines. Instead, they’re turning to AI tools like ChatGPT, Gemini and Perplexity for product discovery and recommendations.
The old model of “browse and hope” is being replaced by a new expectation: “shop for me.” Today’s shoppers want AI to guide them from discovery through purchase with minimal effort.
As iAdvize mentioned: “The AI shopping assistant is the new storefront.”
From Chatbots to Shopping Assistants
Consumers want more than simple support; they expect personalized, visual, sales-oriented experiences. iAdvize has identified 18 distinct traits that separate generic chatbots from true AI shopping assistants, such as proactive engagement, sales-oriented design, visual experiences and the ability to guide users from discovery through to purchase.
And it’s working: across iAdvize’s customer base, retailers are seeing a 3–6% revenue lift and significantly more shopper engagement when they shift from passive support to proactive, AI-driven selling.
Real Brands, Real Adaptation
Viome shared how AI is already delivering measurable impact:
- Deploying agentic shopping assistants led to a 6x increase in conversion.
- Their AI assistant answered 95% of customer questions.
- Agents used AI suggestions to handle complex inquiries, which reduced friction and boosted satisfaction.
Meanwhile, Full Glass Wine Co highlighted the reality for many DTC brands: they’re still figuring it out. “AI isn’t just a tool for content; it’s transforming every touchpoint, from discovery to service.” From experimenting with AI in email and customer service to structuring product data for agent discovery, there was an emphasis on foundational readiness over flashy tech.
Building Agentic Commerce Experiences: A Case Study from Daydream
Agentic commerce calls for a new kind of shopping journey, where AI understands the shopper as a whole person and tailors the experience to their unique needs and preferences.
Daydream, an AI-native fashion platform, offers a compelling glimpse into what this future looks like. Their conversational assistant interprets natural language inputs like body type, style preferences and fit concerns, such as “I don’t like my shoulders,” to deliver highly personalized recommendations.
What sets Daydream apart is how it enriches both customer language and product metadata to create smarter matches, going beyond keywords to capture intent and nuance. They’re also actively integrating real-time inventory from partner brands, ensuring that recommendations are not only relevant but available.
Marketplaces and Multi-Brand Retailers: Rethinking the Role of AI
With agents acting as curators, the role of traditional gatekeepers like Google and Meta is at risk. As iAdvize put it, “shopping isn’t just about search anymore, it’s about experience.”
Marketplaces must shift from aggregators to experience builders. But, DTC brands still have a competitive edge: deep knowledge of their customers and products.
Data Is the New Differentiator
Whether you’re building your own assistant or integrating with third-party agents, structured, enriched product data is the price of entry.
Retailers must:
- Clean up their product feeds
- Anticipate customer queries (even the nuanced ones)
- Create experiences that elevate, not overload, the shopper
Viome summed it up: “It’s not about throwing more marketing at the customer. It’s about making the journey frictionless.”
What’s Next?
The panel closed with a look ahead:
- 45% of the audience expects AI agents to drive 25% of traffic by the end of 2026.
- Most brands are still in the early stages, but they are eager to learn and adapt.
- The future of commerce will be defined by agent-to-agent interactions, deep personalization and trust.
As Daydream said, “In the future, the AI won’t just suggest the dress, it’ll know about your calendar, your preferences and have it at your door the next day.”
Final Takeaway: Start Now—Even If You’re Not Ready
Agentic commerce is evolving fast. The brands that win will be the ones who start experimenting today, structure their data, test new interfaces and listen closely to what shoppers are telling them both in words and actions.
Want more insights on transforming the post-purchase journey?
Join us on October 15 in NYC for the Post-Purchase Forum: a one-day, no-fluff event for VPs and Directors ready to build what’s next in customer experience. There are only 150 seats available, so make sure to apply now.
