Technology

Product Performance:

Our customers are all impressed and remain with our solution and partnership after their initial engagement with us. Gravity serves more than 100 million recommendations per day worldwide (up to 6,000 or more per second), and has an Alexa Top 50 website as an established key client. Customers experience significant, 10-15% increases in sales and gain user/subscriber loyalty, decreasing abandonment.

Using the best-in-class algorithms, Gravity solutions are embedded with self-learning predictive analytical capabilities. Matrix factorization and collaborative filtering techniques work equally well under peak usage as with lighter conditions, never sacrificing recommendation quality under any load. Gravity solutions scale well, and our products have a guaranteed 99.95% availability, and 50 - 200 millisecond response time with explanations, shorter still without.

Client Service:

With our dedicated staff, researchers, and technicians,  our client services are superb. We are in close alliance with all our clients and continually work together to provide the most up to date, best recommender available.

Integration:

The integration process from the onset is a close collaboration, made easy with our team of experts. The Gravity team works to uncover what it is that, above and beyond basic product requirements, would benefit and simplify the managerial control panel for each individual client, and custom builds one just for that business. It can be easily integrated into any model, used either as a SaaS or an appliance solution, or just by just adding a recommender module to technology already in place. Also, the A/B Test Scenario set-up function, right on the interface delights all our clients for its ease of use.

Organizational Benefits:

An unexpected benefit may be Gravity solutions usefulness in a business marketing research. With its highly compatible data output into OLAP, businesses have been able to retrieve recommendation listings and purchase events over the entire array of their subscribers to run in-depth analytics that influence and impact business strategy, from merchandising to promotions.

Self-learning inherently, our products require no additional actions from the viewers and users to begin the personalized recommendation process, so cold-start problems are avoided entirely.  By leveraging  preferred products, genres, and modes along with the learned personal trends and psychographics, on screen recommendations become meaningful when paired with explanations that are robust and targeted.

Using Gravity tools to create customer lifestyle profiles, businesses gain an edge to extend customer focused communications and program catalog. Ultimately, our clients can better understand their users’ mind-frames, which hold an enormous wealth of powerful information businesses can act on.

Why Personalization: 

Because you want to realize on ALL the zero moments of truth opportunities when you interact with your users.

Behavior Based Learning & Contextual Factors:

Typical user patterns (when/where/how factors) provide crucial data to predict the future choices of users that have the highest likeliness of selection.  This is where we can discover what items are best to present at different times (morning/noon/night), and through which of the various channels (touch-points) certain recommendations are most effective (i.e. - a mobil device, vs a set top television, vs a desktop).

Collaborative Filtering:

Collective behavioral patterns are full of powerful indicators of preferential inclination, and are used to deduct optimal weighting of contextual elements.

Personal, Community, and Social Trends: 

User tastes constantly change, so a good recommendation must be up to date. Our algorithms are trained to not only follow personal trends with sophisticated weighting techniques, but to consider external events that influence preference as well.

Architecture:

IPTV/CATV/SATELLITE

e-BUSINESS:

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