SAP Fieldglass leverages machine learning (a subset of AI) for its Candidate Ranking feature. This functionality performs an analysis of a candidate's resume and work history, comparing it against the specific requirements detailed in the job posting. The system then generates a recommendation score and highlights the most relevant skills and qualifications. This AI-driven analysis allows hiring managers to quickly identify the most suitable candidates, thereby significantly reducing the time and effort required for manual screening.

A. AI-generated work statements: This feature uses AI to assist in creating Statements of Work (SOWs), focusing on defining project scope and deliverables, not on evaluating candidate suitability.

C. Conventional role-change entries: This refers to a standard, non-AI administrative process for managing internal or existing contingent worker role changes, not for screening new external candidates.

D. Traditional manager referrals: This is a manual, human-driven sourcing channel for finding candidates and does not involve AI technology for screening or analysis.

1. SAP Help Portal, SAP Fieldglass What's New (Release 2105): "Machine Learning-Based Candidate Ranking. This feature analyzes data from the job posting and the candidate’s work history to provide a recommendation score. This helps hiring managers make faster, more informed decisions when selecting candidates." (This documentation directly describes the functionality of analyzing candidate data against job postings to aid selection, which is the core of AI-generated resume analysis).

2. SAP Help Portal, SAP Fieldglass What's New (Release 2202): "Candidate Ranking Using Machine Learning. The candidate ranking feature now uses machine learning to analyze the job posting and the candidate’s resume to provide a recommendation score. The score is based on the candidate’s skills, experience, and education." (This source explicitly mentions the analysis of the "candidate's resume" using machine learning to score and rank them based on skills, directly supporting the concept of "AI-generated resume analysis").