Predictive Guest Scoring
Predictive guest scoring is the use of AI and historical guest data — visit frequency, spend, recency, and sentiment — to forecast each guest's likelihood to return, risk of churning, and future lifetime value. Restaurants use these scores to act on the right guests before revenue is lost, not after. Bloom Intelligence assigns them automatically across every guest profile.
Bloom turns guest data into recovered revenue — an average of $53,000+ per location a year.
See your restaurant's data