AI-Powered Candidate Screening and Shortlisting: A Case Study on Ideal Image MedSpa
Technology Category
- Analytics & Modeling - Computer Vision Software
- Application Infrastructure & Middleware - Data Exchange & Integration
Use Cases
- Clinical Image Analysis
Services
- System Integration
- Training
About The Customer
Ideal Image is the largest MedSpa in North America, with over 130 locations. The company is known for its strong employer brand and rapid growth. As a forward-thinking tech enthusiast, the company encourages innovation and early adoption, and is always looking for ways to improve its hiring decisions and meet the business demands for talent. Ideal Image values the candidate experience and aims to ensure that every resume is seen and evaluated in a fair manner. The company has an internal team of recruiters and uses an applicant tracking system, iCIMS.
The Challenge
In 2017, Ideal Image, the largest MedSpa in North America, was experiencing rapid growth. This growth led to an overwhelming number of job applicants across their 130 locations. Despite having an internal team of recruiters, the company was unable to shortlist every single candidate due to the sheer volume of applications. The challenge was to maintain their industry-leading candidate experience at scale, ensuring that every resume was seen and evaluated fairly. The company needed a solution that could handle massive amounts of existing and future resume data, comply with all corporate security, data management, and privacy requirements, and fully integrate with their applicant tracking system, iCIMS.
The Solution
Ideal Image partnered with Ideal, a company specializing in recruitment automation, to address their recruitment challenges. The partnership aimed to achieve three main objectives: screen every single candidate regardless of volume, reduce candidate wait times, and increase recruiter’s bandwidth by reducing unnecessary interviews. Ideal used artificial intelligence (AI) to objectively assess every single resume and assign a letter grade to each candidate in minutes. The AI was trained on past data to mimic the process of a senior recruiter, allowing organizations to identify their future top hires instantly. The solution was fully integrated with Ideal Image’s applicant tracking system, iCIMS, and worked behind the scenes, requiring no change in the recruiters' existing workflow.
Operational Impact
Quantitative Benefit
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