Darden needed a way to accurately match current students with on campus prospects
Utilizing a Nobel prize winning algorithm, Matchly finds the best possible pairings of two groups based on categories and weights set by the user – eHarmony for the recruiting process. Students and guests are matched on categories such as veteran status, alma mater, gender, current employer, future industry, and hometown.
Using the results, Darden is able to ensure the highest probability of first-year students forging a connection with a prospective applicant, ultimately increasing the likelihood that the prospect will be a student the following year. Matchly’s algorithm is so efficient, it can find the optimal pairings among 10,000 users in under 3 seconds.