The Conference Board uses cookies to improve our website, enhance your experience, and deliver relevant messages and offers about our products. Detailed information on the use of cookies on this site is provided in our cookie policy. For more information on how The Conference Board collects and uses personal data, please visit our privacy policy. By continuing to use this Site or by clicking "OK", you consent to the use of cookies. 

CASE STUDIES

Increasing Sourcing Efficiency (Artificial Intelligence for Talent Acquisition case study)

A US-based multinational restaurant chain had been facing a staffing crisis for years: within a fast-paced industry with high turnover, all franchises and stores were expected to recruit hourly delivery workers constantly and quickly. However, stores were having a difficult time finding good candidates and following up with applicants in a timely manner. Screening numerous applications was time consuming; additionally, general managers were often not skilled in operating the recruiting tools, further elongating the recruitment process. 

This publication is exclusive to members of The Conference Board.
For information about membership click here.

Support Our Work

Support our nonpartisan, nonprofit research and insights which help leaders address societal challenges.

Donate

FILTER BY CENTER

OTHER RELATED CONTENT