SIMS AUTOMATICALLY MATCH YOUR CUSTOMER TO OFFERS AND PRODUCTS
Item-to-item similarities (SIMS) can deliver highly relevant recommendations based on the similarity between content and products your customers have either already bought or previously interacted with. Instead of using embedded metadata (like color or price), SIMS use machine learning to determine the relative value of an offer or product and can automatically recommend products or content based on similar customers' preferences.
TIME TARGETED RECOMMENDATIONS
Our AI-assisted recommendation tools ensure engagement by providing different recommendations to viewers based on the time of day or the day of the week. Providing viewers the content they want by anticipating when they want it.
By Device
Build engagement by delivering relevant recommendations to any connected device, whether smartphone, web browser, game console, or Smart TV.
We've shaped the streaming world from the very beginning, providing critical infrastructure for a world-renowned streaming service's first global content monetization platform. Our work architecting and developing the platform was essential in providing support for more than 18 languages across 15 device platforms in more than 50 countries and three continents - and was critical for the success of the largest streaming event in the history of the pay-TV industry.
