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What is Visual Recommender?
Visual Recommender creates product recommendations based on visual similarity. It uses product images to find the closest matches. Using the right photos and images of your products in the Product Catalog is essential for this recommender to work to its best ability.
How can you use Visual Recommender?
Visual Recommenders are especially helpful in industries like Fashion or Furniture & Household. They show customers similar products based on visuals to find better alternatives.
For example, let’s say a customer is shopping for plaid shirts and finds one they like. However, their size is unavailable, so they must look for similar shirts. With the Visual Recommender, they will see suggestions for similar plaid shirts right on the product detail page and find a suitable alternative quickly.
It’s important to use images that show only the product without any models or fancy backgrounds. For example, if you upload an image of a sweater, it should show only the sweater on a white background.
What are the benefits of Visual Recommender?
- Recommends items with similar design and look
- Helps customers find accurate alternatives based on look
Recommender
Increase average order value with AI-powered product recommendations that tailor suggestions to each customer’s unique shopping preferences.
Recommender Personalization
Increase sales by offering personalized product recommendations that align with each customer's interests, behavior, and shopping history.
AI‑Powered Personalized Product Recommendations
Boost your e-shop's conversion rate and average order value with personalized product recommendations powered by AI.
Placeholders for Luigi’s Box Recommenders
Luigi's Box Recommender can be placed in the e-shop in two ways. Learn more about both solutions in out video.
Recommendation Preview
Recommendation preview allows you to see how product recommendations appear to customers, helping you assess their relevance and refine recommendation logic.
2.08 Recommendations – Recommender Front-end integration
Learn to set up a front-end integrated recommender, customize its appearance, and publish it without programming skills.
2.01 Recommender – Analysis
Explore the Recommendations section in Luigi's Box, consisting of the Analysis and Improvement sections.
2.05 Recommendations – Recommendations customization
Discover how to navigate the "Searches Without Results" section of your e-commerce platform's analytics dashboard.
