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
Leading retailers and brands across the globe have grown their revenue with Algonomy’s personalization software.
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.
Explore other solutions from our end-to-end personalization software, and learn how they enable individualized experiences at different shopper touchpoints.
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.