Businesses today commonly collect a wide range of operational metrics like the timeliness of delivery, team productivity, or developer velocity. They also capture customer behaviors like average repurchase rate or digital product engagement.

Other systems are deployed to collect customer feedback. These systems include surveys, ratings or support systems where the attitudes of a small fraction of customers are captured and scored once or twice per year.

When properly targeted and integrated, operational and feedback data serve as training input for the Customer AI platform. The platform uses this data to generate a complete picture of experiences, attitudes, and propensity for every customer.