Facts at a glance
Transportation, eCommerce and business services
Decrease candidate drop-off and improve talent pool quality.
A holistic revamp of HR process that taps into AI and ML
- Master products and services integration
- AI to evaluate progress of candidates at acquisition milestones
- Managed Services for AI
- ML for increased effectiveness over time
- Help desk services
- Reduced hiring time by 20%
- Increased recruitment productivity by 30%
- Greater cost savings
- Improved candidate experience & retention
- Increased quality of talent acquisition
For a company as large and widespread as this industry leader, hiring is a constant part of keeping the organization driving forward. In the past, it had tapped Insight for IT residency services to offload many day-to-day tech management tasks, as well as ongoing device management. Based on history and previous impact, the company again trusted Insight to address emerging challenges. Concerned about the time it took for candidates to progress through the hiring process and high rates of applicant drop-off, the ecommerce giant sought to revolutionize its current process.
The HR revamp project focused on creating a system that would attract and retain a quality talent pool. It became known as the Strategic Talent Acquisition and Retention Transformation, or START for short. With applicant drop-off identified as a concern, Insight helped establish a system of keeping candidates “warm” throughout the process by leveraging tech to prolong their engagement.
With an app solution powered by Artificial Intelligence (AI) from Cravety, applicants would receive a more personalized experience with text message check-ins and updates throughout their hiring process via Digital Employee Experience (DEX). Additionally, Machine Learning (ML) was implemented to monitor and continually improve the personalized updates process to best fit the needs of incoming candidates. Lastly, part of the solution allowed for a better internal experience in which current employees could easily find and apply for other roles around the company that they are interested in.
As a result of the new candidate experience, the company saw an immense improvement in its talent acquisition. With the use of AI and ML, repetitive and time-consuming tasks related to candidate retention were offloaded from recruitment staff, increasing the department's productivity by 30%.
Additionally, with the improved experience, reduced hiring time and personalized check-ins for applicants, our client saw an improvement in the talent pool and subsequent hires. With this transformation, the company can continue to reap the ROI of a strong hiring process and candidate experience.