Artificial intelligence has redefined the digital shopping experience. From personalized recommendations to chat-based shopping assistants, we’ve entered an era where consumers expect their online journeys to be smart, responsive, and tailored. But there’s one vital ingredient still missing in most AI commerce strategies: Visual intelligence.
While language models are getting better at mimicking our words, they’re still not seeing what we see. And that’s a problem, because shoppers aren’t just searching for "products." They’re seeking products that make sense for their specific situation.
Welcome to the next evolution of ecommerce: Situational Commerce.
Visual intelligence refers to the ability of AI systems to interpret, manipulate, and reason about visual content the way a human would. In ecommerce, this means AI that doesn’t just read metadata or product titles. It understands textures, proportions, configurations, finishes, and how a product fits in a broader aesthetic or physical context.
This nuance is what today’s commerce platforms are still missing. And it’s where visual intelligence comes in.
As we covered in our whitepaper, The Unseen Influence of 3D in the Age of AI, there’s a growing gap between how consumers are discovering products and how product data is structured behind the scenes.
Modern shoppers use AI tools to shop situationally, not categorically. They describe use cases, vibes, environments, and emotional intentions. “Build me a mudroom with a gun safe and boot dryer,” or “I need a camp stove that fits in the back of my Tacoma.”
But most AI models struggle to deliver on these prompts. Why? Because they’re trained primarily on text-based data, while the products themselves exist in physical, visual space.
Agentic commerce is the idea that shoppers will soon rely on agents, whether AI chatbots or embedded shopping copilots, to find and configure products on their behalf. These agents will anticipate preferences, compare alternatives, and even make purchases autonomously.
But if those agents don’t understand how a product looks, fits, or functions in a specific context, they can’t do their jobs well.
Without visual intelligence:
It’s like hiring a personal shopper who’s never seen color or depth.
This is where 3D product models change the game. When your product catalog is visualized in 3D, you unlock:
3D is no longer just a sales or marketing play. It’s a data play. It feeds your AI with the spatial and design intelligence needed to support situational, agentic shopping.
At Dopple, we believe 3D is the foundation for agentic commerce. Not just because it looks good on a PDP, but because it enables machines to reason about physical reality.
Our platform transforms traditional product data into situationally-aware experiences that feed the AI tools your buyers already use. We don't just help you "go 3D." We help your products become intelligible to the next generation of shopping interfaces.
Want to see what that looks like in action?
📄 Download our whitepaper: The Unseen Influence of 3D in the Age of AI
If your AI commerce strategy relies solely on written attributes, you’re missing the most intuitive language your buyers speak: the visual language of context.
Visual intelligence is the way to make your product catalog understandable to the systems that will soon power search, recommendation, and personalization.
And the brands who make their products agent-ready today? They’ll be the ones tomorrow’s shoppers trust to get it right.