Using Artificial Intelligence and Machine Learning technologies, Bright Apps built a search product to completely automate the job matching functions for both job seekers and companies.
A job seeker can now go to the client’s website, search for a job, choose their skillset, and upload their resume as they always would. However, now, the AI on the backend immediately begins gathering this data and incorporating and building on other data points to improve the job matching and deliver more intelligent job options to the job seeker.
The type of information the AI is building on includes:
- Information from this individual’s resume
- Information coupled with past resumes of job seekers for various types of positions
- Statistics gathered from past searches and successful matches
The real power behind this technology, however, is how the AI interacts with the candidate’s resume. In essence, the AI rewrites the resume to help match a job opening to a candidate with the correct skill set. In the same way, the product allows companies to search for the perfect candidate across thousands of resumes, quickly and with much less human interaction.
Bright Apps was involved in this product from ideation to deployment.
- Strategy
- Business & Technical Requirements
- Design
- Development
- Deployment
- Maintenance
Lead Generation
When an applicant uploads their resume in the United States, it processes through the BA AI to generate leads. If the AI finds a match between a candidate and a job, it may perform one of several functions. The AI might send an email to the employer notifying them of the match. It may also contact the applicant with other available jobs. The AI could contact a staffing company as well to allow them to quickly reach out to the applicant. This provides a benefit to each party. Employers can review more accurate job matches, candidates can explore job openings relevant to their skills, and recruiters can find qualified applicants without spending time on manual research and job-to-applicant matching.
For example, assume a candidate applies for a job with someone other than our client. The AI will observe this event, match the candidate with our client’s top 1 to 3 openings, and email the candidate directly. This results in a 50% click-through rate with 90% of candidates applying for the job. This is significant, as traditional email marketing campaigns resulted in a meager 3% open rate.
Another example relates to the client’s temporary hires. When a candidate leaves a temporary position, the AI sends them 1 to 3 new open positions while simultaneously copying a staffing professional in charge of filling those positions. The AI can take this process a step further by reviewing the candidate’s career progression. The AI will sync open positions that match the candidate’s career thus far. This is a significant benefit since, historically, candidates were left without viable options after moving on from a temporary position. The AI now sends over 10,000 emails per week with job openings that were left vacant prior to its implementation.
