The right response to any customer scenario
Every customer has unique needs and expectations. Responding correctly and quickly to those needs is key to generating satisfied, loyal customers. NICE patented Machine Learning technology rapidly learns to predict customer behavior, enabling you to provide the right response for customer engagement scenarios, in real time.
Being able to apply insights into your customers' experiences in real-time is a powerful advantage. It helps to ensure that every interaction is targeted to the precise needs of your customer. NICE Machine Learning technology efficiently learns to make smart decisions that optimize business goals, such as conversion or click-through rate.
How does it work?
Our machine learning technology uses a type of Temporal Difference Learning that takes predictive actions derived from automatically observed customer behavior. This type of machine learning is especially suited to large amounts of cross-channel customer data. It can be deployed across multiple channels at enterprise scale to quickly understand what products, campaigns and strategies deliver the strongest business results.
Faster responses to changing behavior
Leveraging Big Data infrastructure, the technology continually learns and adapts from the very first offer or customer interaction. So it needs less data to get up to speed and become productive and is less expensive to implement.
Designed to be configurable by the analyst and marketer, the technology is flexible and transparent so that results of decisions can be viewed and acted upon as needed.
- Enterprise level deployment across multiple channels
- Flexible and easy to configure by marketers or analysts
- Fast time to productivity
- Works online, in parallel and in real time
Impact customer decisions as they happen
NICE Machine Learning technology allows you to respond faster to changes in customer behavior and impact your customers' purchase decisions as they happen. Contact us to learn more.