Visual Product Search for E-commerce
Enable visual product search on your e-commerce platform. Shoppers upload photos to find visually similar products across your entire catalog in milliseconds.
E-commerce platforms, online retailers, and marketplace operators managing catalogs of 50K+ SKUs who want to offer camera-based product discovery
Shoppers see a product they like in the real world or on social media but cannot describe it precisely enough for keyword search. They abandon the search or settle for inferior results, costing retailers conversion revenue on high-intent traffic.
Ready to implement?
Why Mixpeek
Multimodal embeddings capture style, texture, shape, and context rather than just color histograms. Attribute filters on top of visual similarity let shoppers refine results without losing the visual match. Batch catalog processing handles millions of SKUs.
Overview
Visual product search lets shoppers bypass keyword limitations by uploading a photo to find matching products. By encoding your entire catalog into multimodal embeddings, Mixpeek enables instant similarity retrieval that understands style, pattern, and shape rather than relying on manually tagged product attributes.
Challenges This Solves
Keyword Vocabulary Gap
Shoppers and catalog managers use different vocabulary to describe the same products, creating a persistent disconnect between search intent and indexed terms
Impact: 15-25% of high-intent searches return zero results due to vocabulary mismatch
Inspiration-to-Purchase Friction
Shoppers discover products on social media or in physical stores but have no efficient path from visual inspiration to purchase
Impact: High-intent shoppers abandon searches when they cannot translate a visual reference into keywords
Manual Attribute Tagging at Scale
Product images require extensive manual tagging for attributes like pattern, material, and style that drive discovery
Impact: New products are poorly tagged, reducing their visibility in search results for days after listing
Recipe Composition
This use case is composed of the following recipes, connected as a pipeline.
Feature Extractors Used
multimodal extractor
text extractor
Retriever Stages Used
feature-search
attribute-filter
rerank
Rerank documents using cross-encoder models for accurate relevance
Expected Outcomes
+30% for visual search queries
Search-to-cart conversion rate
80% reduction
Zero-result search rate
3x faster than keyword search
Average time to find product
Add Visual Search to Your Store
Clone the visual product search pipeline and connect your product catalog via API or S3 bucket.
Frequently Asked Questions
Related Use Cases
Fashion Visual Product Discovery
Search for fashion by style, not just by name or brand
AI Catalog Search for Marketplaces
Help buyers find exactly what they need across millions of multi-vendor listings
Product Affordance Intelligence
Understand what products can do, not just what they look like
Ready to Implement This Use Case?
Our team can help you get started with Visual Product Search for E-commerce in your organization.