Real-time 1:1 personalized experiences
Atlas AI delivers personalized experiences in real time. By leveraging your vectorized product data, it extracts key features and attributes using a series of embeddings. This process builds a network of neural models that serve as an in-depth representation of your entire product assortment.
How Atlas AI Works
Data training
The model is trained on your vectorized product data.
It uses embeddings to capture every product feature and attribute.
A network of neural models is created, representing your product range in detail.
Contextual product mapping
Products are grouped by similar contexts to form a visual “map” of your assortment.
Distances on the map indicate differences between products in specific dimensions.
Initial layers might group products by category (e.g., Smartphones), with deeper layers differentiating features like screen size and price.
Granular understanding
Multiple neural map layers allow the model to grasp product relationships at a granular level.
The depth of mapping depends on the complexity of your catalog, resulting in a human-like understanding of your assortment.
Interactive learning
When shoppers browse your store, they interact with the Atlas AI model instead of the actual product listings.
The model learns from every interaction, even a single click, to improve relevance instantly.
Atlas AI advantage
Atlas AI is above and beyond traditional segmentation with a three-step approach designed for precise and personalized shopping experience for every customer:
1. General relevance based on shopper’s behavior
What it does: Atlas AI optimizes search results and recommendations based on shoppers behavior, including search queries and interaction patterns.
Benefit for you: reduces the need for manual search optimization.
2. Relevance based on the current shopping intent
What it does: adapts search results based on the shopper’s immediate session behavior and signs of buying intent.
Benefit for you: provides a natural shopping experience by displaying only contextually relevant products.
3. Relevance based on personal preferences
What it does: analyzes individual preferences through past purchases, product views, and specific interaction patterns.
Benefit for you: enhances precision, resulting in a personalized shopping experience that boosts conversion rates.
Short summary
Atlas AI transforms customer engagement by using advanced neural networks to understand your product assortment in a human-like way.
Its layered approach to mapping and relevance creates a tailored, real-time shopping experience that drives higher engagement and revenue.
Want to learn a more? Watch our short video below: