"A personalization engine shows the right product to the right shopper at the right time. In theory, it makes everyone happy. Shoppers see relevant and engaging products. Merchants sell more. It sounds simple enough. Think of an ecommerce website with products for sale. What item(s) does the site show to a particular user to entice a sale? How does it know what to show?"
"captures every user action in a session and passes it into [an AI] transformer model that behaves like a language model for intent. The inputs are event triplets - user, action, item - instead of words. The model analyzes not just the action but the sequence of actions and the context that connects them. It updates continuously and responds in milliseconds without retraining."
Albatross AI received $12.3 million to build a real-time ecommerce personalization engine. The system captures every user action in a session and feeds event triplets — user, action, item — into a transformer model that treats intent like language. The model analyzes action sequences and connecting context, updates continuously, and responds in milliseconds without retraining. The infrastructure supports training on sequential live events for immediate predictions. The approach aims to shorten long model training periods, improve categorization of new shoppers, and reduce cold starts for new products, enabling more relevant recommendations and higher conversion potential.
Read at Practical Ecommerce
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