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Similar to an in-store salesperson suggesting suitable products for a shopper, the AdaptML™ system mimics human decisioning to present and recommend the most relevant products and offers to each person.
The system breaks down silos between applications and consolidates data to identify in-the-moment buying intent signals, ensuring learnings are shared and applied across channels.
Going head-to-head with decades of human data science experience, AdaptML™ alleviates the need to allocate heavy development resources or build costly in-house algorithms.
Upload a product feed with millions of SKUs to power your deep learning-based recommendations.
Self-learning quickly, frequently, and off a huge amount of data, recommendation results are continuously optimized.
Speed up time to value with an algorithm pre configured based on site trends, user behavior, customer journey, popularity by geo-location, and more.
Affinity profiles and recommendation results update in real-time to account for one-time purchases and subsequent complementary products.
AffinityML analyzes historical site-wide patterns to intuitively gauge purchase intervals, tailoring user affinities to each individual's unique rhythm.
Our affinity neural network algorithm is trained on both the behavior of each individual user and the site activity of all users, enabling it to understand user behavior on both micro and macro levels to deliver precise, predictive, and relevant content.
Help your customers find exactly what they’re looking for, faster, by recommending visually similar items to the product they’re currently viewing.
Surface similar, relevant items to the current product regardless of popularity score or metadata tags, broadening discovery across your entire catalog.
As brands across industries continue to adopt deep learning, learn how it is being adapted for the delivery of product recommendations that enhance the customer experience and generate meaningful revenue.
A guide to effectively deploy product recommendations featuring strategies, best practices, and real-life examples from leading global brands.