Textkernel (formerly Sovren)

Step 1: Upload resumes to Textkernel's parsing engine.

Step 2: The system automatically extracts relevant information such as skills, experience, and education.

Step 3: Define specific criteria for the ideal candidate profile.

Step 4: The system matches the parsed resume data against the defined criteria, ranking candidates based on fit.

Step 1: Extract skills from job descriptions and candidate profiles using Textkernel's skills intelligence.

Step 2: Define the required skills for a particular job role.

Step 3: The system identifies candidates who possess the required skills.

Step 4: Rank candidates based on the relevance and proficiency of their skills.

Step 1: Access Textkernel's labor market insights module.

Step 2: Define the geographic area and skills of interest.

Step 3: The system provides data on the number of available candidates and the demand for those skills.

Step 4: Use the data to make informed decisions about recruitment strategies and talent sourcing.

Step 1: Utilize the Job Description API to access AI-powered writing assistance.

Step 2: Input basic job requirements and responsibilities.

Step 3: The API generates a comprehensive job description with relevant skills and qualifications.

Step 4: Review and refine the job description for accuracy and appeal.

Step 1: Collect data on candidate sources, skills, and job performance.

Step 2: Analyze the data using Textkernel's analytics tools.

Step 3: Identify trends and patterns in the data.

Step 4: Adjust recruitment strategies based on the insights gained from the data analysis.