Career Planning position recommendation

The Career Planning position recommendation feature provides personalized job suggestions based on employee qualifications and preferences. It uses the Infor Artificial Intelligence platform to analyze employee profiles and match them with suitable positions.

You can use this feature to evaluate employee skills, competencies, credentials, education, work experience, and career preferences. This evaluation identifies relevant job opportunities across the organization.

A machine learning model analyzes historical employee and position data to identify patterns between qualifications and successful role placements. The model uses statistical methods and filters low-value data to improve recommendation accuracy.

Business rules and organizational constraints, such as location, job category, and organizational structure, ensure that recommendations align with company policies.

The feature assigns probability scores to positions and evaluates alignment between employee qualifications and job requirements. It returns a ranked list of recommended roles in the employee career profile.

This feature supports data-driven career development and improves internal mobility by aligning employee capabilities with suitable roles.