360° Consumer Profile
Compiling all available data from the public domain, including e-commerce accounts, product preferences, and life events, to develop a full customer profile.
Rapidly analyzes multiple data points from ever-changing data profiles of customers to provide timely and hyper-personalized recommendations.
Harnessing the power of AI to increase the accuracy and relevance of each recommendation.
Constantly learning customer’s patterns, with real-time adaption to the customer’s behavior, life events, and market changes.
Dynamic Data Modeling
Dynamic building of industry-specific predictive models which generates early-stage recommendations. These early-stage recommendations are the foundation for the hyper-personalized recommendations retailer will provide to their customers.
Back-end integrated solution allows companies to decide which customer characteristics are most relevant in any situation and assign them a score.