DeepRecs™: Visual AI
& NLP-powered Deep Recommendations
Personalize without behavioral data, with a human-like touch
Algonomy is positioned as Visionary in Gartner’s Magic Quadrant for Personalization Engines
Our Customers
Leading retailers and brands across the globe have grown their revenue with Algonomy’s personalization software.
Overcome the Limitations of Traditional Recommendation Engines with Advanced AI Techniques
Surface Recommendations for Products Without Historical and Behavioral Data
Leverage your product data to contextually recommend new, seasonal, and long-tail products that would’ve otherwise remained buried due to a lack of historical events.
Replicate the In-store Experience on Your Online Store
Recommend products that are visually similar to and visually compatible with the product a shopper is looking at – the way a human sales associate would in a store.
Deliver Intuitive Shopping Experiences with Visual AI and NLP Deep Learning
Connect Products Based on Visual Similarity, Without the Need for Manual Tags
Leverage Visual AI and convolutional neural networks to detect and extract feature vectors and graph visual similarities between products. Generate relevant recommendations across fashion, lifestyle, and furniture verticals, and help shoppers make a decision.
Deliver Complete-the-look Recommendations Based on Visual Compatibility
Apply Visual AI for ‘complete the look’ and other cross-sell strategies just like human merchandisers. Grow basket sizes without having the shoppers do the heavy lifting of finding matching products across categories.
Surface Related Products, Even for Fast-changing Catalogs
Use NLP-based deep learning algorithms to analyze catalog descriptions, reviews, and other textual data to infer relationships between products. Automatically recommend relevant new launches and long-tail items, without having to rely on historical events.
Re-rank Recommendations Based on the Individual Shopper’s Intent
Combine deep learning with behavioral data to dramatically improve the quality of recommendations that reflect an individual shopper’s specific needs and preferences.
Take Your Product Recommendations to the Next Level
Fill recommendation gaps and do away with fallback on top sellers.
Surface more of your catalog, including long-tail products.
Use product data — text data and product descriptions to form associations.
Let deep learning use subtle visual attributes to make recommendations, just like a human.
Draw Inspiration From Our Personalization Resources
Explore our eCommerce personalization resources — best practices, case studies, videos, and more — to stay ahead of the curve.
Other eCommerce Personalization Tools
Explore other solutions from our end-to-end personalization software, and learn how they enable individualized experiences at different shopper touchpoints.
What Leading Brands Say About Our eCommerce Personalization Software
Create Frictionless Experiences with Deep Recommendations
When a shopper visits an eCommerce store, their intent is to find what they are looking for in the shortest possible time.
Use Algonomy DeepRecs to improve product discovery and grow the number of returning customers to your online store.
