Title: Efficient High-Volume Hiring for a National Retail Chain
Client Overview: A major national retail chain with over 200 stores across the country, specializing in affordable fashion and household goods.
Challenge: The client experienced a surge in turnover during the holiday season, necessitating the rapid hiring of temporary staff. Their internal HR team struggled with the volume of applications and the need for quick turnaround times.
Solution: I implemented an automated pre-screening system using customized AI algorithms to filter through thousands of applications based on predefined criteria such as availability, previous retail experience, and customer service skills. Additionally, I scheduled interviews and coordinated with store managers to ensure a smooth hiring process.
Results: The client successfully hired 500 temporary employees within a two-week period, reducing the time-to-hire by 60%. The automated system also improved the quality of hires, leading to better performance and customer satisfaction during the peak season.