Staffing agencies face numerous daily challenges, from sourcing top talent to managing time-consuming administrative tasks. It can be overwhelming. Fortunately, Textkernel has revolutionized the industry with unparalleled value to understand these difficulties. Here’s how we do it:
Enhanced Candidate Experience
In today’s market, providing excellent candidate experience is critical. Our AI-powered solutions streamline the recruitment process, ensuring that each candidate has a positive experience from start to finish. Leveraging our advanced semantic search technology, we identify the best candidates for each role, delivering a seamless experience that reflects positively on your organization.
Every second counts when it comes to placing candidates into jobs quickly and efficiently. Our automation technology can reduce the time spent on recruitment processes, such as resume screening and data entry, by up to 40%. This frees up your team to focus on more important tasks, streamlines your workflow, and increases efficiency while providing high-quality service to your clients.
Advanced Matching Solutions
Finding the perfect candidate for each role is not always easy. Textkernel’s advanced matching solutions use powerful semantic search technology and big data capabilities to quickly identify even nuanced Finding the perfect candidate for each role is not always easy. We use powerful semantic search technology and big data capabilities to identify even nuanced matches between candidates and roles. Our machine learning algorithms continuously improve our matching accuracy over time, providing a higher chance of success and a better outcome for everyone involved.
Case Study: Colas, Global Engineering Company with annual turnover of $16+ billion
“After implementing Textkernel’s technology we’ve seen candidate conversion rate increase by up to 440%. This decrease in abandoned applications is directly measurable and justifies our investment by itself.”
To learn more about how AI can improve your candidate experience, click here.