Atlas AI

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 embeddings. This builds a network of neural models that serves 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 along specific dimensions.

• Initial layers might group products by category (e.g., smartphones); deeper layers differentiate 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 rather than static product listings.

• The model learns from every interaction — even a single click — to improve relevance instantly.

Atlas AI advantage

Atlas AI goes beyond traditional segmentation with a three-step approach designed to deliver precise, personalized shopping experiences:

1. General relevance based on shoppers' 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 results based on the shopper's immediate session behavior and signals 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 more? Watch our short video below: