Learning Path Recommendation uses AI to recommend prioritised learning activities to employees based on skill gaps and career goals, enabling higher completion rates for role-relevant development, by matching individual profiles to a curated content catalogue, across corporate learning and development programmes.
Employees navigating large learning catalogues without guidance complete fewer relevant courses and focus on content that does not address their capability gaps or career objectives.
A recommendation engine maps each employee's current skill profile and stated development goals to relevant learning content, sequences activities by role relevance and dependency order, and surfaces a prioritised personalised plan through the LMS interface.
Increase in completion rate for role-relevant learning activities and reduction in assessed skill gaps for target competencies.
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