Smarter Staffing & Scheduling With Machine Learning

The Problem

Conventional ways of workforce planning rely on tedious manual processes. These methods do not provide dynamic abilities for workforce scheduling that is much needed for businesses for optimizing their operations. This is especially applicable as labour supply remains constrained and wages are soaring. Can AI provide an effective solution for this problem?

Solution

Machine learning models deployed on Kranium can provide smarter, quick and flexible solutions for workforce scheduling. For instance, the models can be trained take into consideration aspects like staff experience, travel time, training received, qualifications, demand type and more. The models can eliminate human biases in scheduling decisions and allows for a consistent approach. These models can function with minimal or no supervision to produce fairer schedules compared to conventional methods.