This invention relates to the field of call center technology, specifically to a method for intelligent scheduling of group calls in call centers. The method includes: acquiring a
pool of student data to be called and extracting multi-dimensional features to obtain student
feature data; generating multiple student groups with different outbound call priorities based on the student
feature data; dynamically generating a set of
time windows for outbound calls on the current day based on the current
timestamp and preset
call blocking rules for the education and training industry; calculating the real-time connection probability value of each student at the current moment by combining the student groups and the time window set, and calculating the expected conversion value
score based on the real-time connection probability value; calculating the agent capability
score based on the real-time status data of the agent team; dynamically generating a group call task
queue based on the conversion value
score of each student in the student groups, and allocating the outbound call tasks in the group call task
queue to matching agent terminals based on the agent capability score. This method can improve the outbound call conversion rate and operational compliance in the education and training industry.