Shopping for windows and doors represents a large investment for consumers. Not only are they costly, they'll be part of your home for years. Decisions about style, energy efficiency, security, and more are taken into consideration, which can be overwhelming.
Simplify the shopping experience and make it more intuitive for your customers with visual discovery AI technology, which shows personalized product recommendations.
Key Takeaways
- Visual discovery AI suggests products based on user preference and need, past purchases, and other personalized aspects.
- Advanced AI algorithms allow for semantic search, making the browsing experience more intuitive.
- Reduce a sense of product choice overwhelm by providing a guided, AI-assisted buying experience.
- Visual discovery AI also enables users to upload images and search for the same, similar, or complementary products based on that image.
Understanding Visual Discovery
Shopping for windows and doors can be a daunting task. With so many options and features to consider, it's easy to feel overwhelmed. That's where a guided buying experience courtesy of advanced discovery AI comes in. By using advanced tools and technologies, you can make the shopping process smoother and more enjoyable.
Personalizing the User Experience
Visual discovery AI personalizes the buying journey by suggesting products based on user style and needs. These can be manually entered, with a guided process that then narrows your product catalog down to the relevant windows and doors. The AI can also explain why each shown product is relevant to a customer's interest, further personalizing the experience in a way that filtered search cannot.
This guided buying process is more engaging for users, creating a greater connection between businesses and consumers. Whether B2B or B2C, studies have shown that a website with personalized product recommendations increases conversions up to 40%.
Making Search More Intuitive
Even when shoppers don't know exactly what they want, visual discovery AI can help them find what they need. Using semantic search and large language models, AI-powered search can tease out the intention behind the question, regardless of typos and synonyms. No exact keywords are needed.
Making searching a catalog smoother and more efficient gives users a sense of personalization that mimics the in-store buying experience. It's like having a personal assistant that knows all aspects of the product catalog and understands how valuable customers' time is.
Providing Near-Human Guidance
With ThreekitGPT, an AI-powered chatbot can assist customers to find the exact window or door they're looking for. The user is prompted with natural language dialogue, and from their response, the algorithm both suggests products and explains why it suggested that item.
This also creates a personal shopper experience, as it can be used in the custom configuration of windows and doors. For example, the chatbot can help a user determine the most important qualities to them in a door, suggest a model, then ask about material preference and answer any questions about said material differences.
When you give shoppers engaging product experiences and quickly serve personalized recommendations, they stay on your page. In fact, studies show the bounce rate falls by up to 32%.
Allowing Visual Search and Shop This Look
Humans are highly visual, especially when it comes to determining how something will fit in our space. Which tools such as augmented reality (AR) can help us see a fit by virtually placing a door or window in our space, we thrive when able to see a holistic representation of that room or building.
Visual discovery AI enables users to upload their own image, perhaps of their dream door, and searches the product catalog based on that visual. The same, similar, or complementary products in the catalog are then displayed to the user, helping them further visualize and select an item.
Similarly, visual discovery AI allows a "Shop The Look" feature. If a user sees an image of a door they like on the internet or a social media post, they can click through to see AI-powered product suggestions that match. This is especially useful when you have a robust visual catalog used in marketing and social media.
Conclusion
By simplifying the search process, making it more intuitive, and making it more accessible, businesses can strengthen brand trust and increase the likelihood of conversion. This is especially powerful in the realm of door and window shopping, where visualization is key.
Want to see visual discovery in action? Contact Threekit today for a free demo of how our robust AI technology and award-winning visual engine can help revolutionize your window and door business.
