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Increasing Sourcing Efficiency (Artificial Intelligence for Talent Acquisition case study)
January 21, 2020 | Brief
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.
Application of AI for TA
With the goals of adopting a simple, user-friendly hiring platform and hiring quality candidates faster, the company partnered with HiredScore to develop an AI-powered platform. Due to its reputation in the industry, the restaurant was able to receive an immense number of applications for any delivery worker roles. The new tool’s biggest contribution is that it quickly narrows the large number of applicants to a short list of candidates based on preset standard requirements. Based on candidate information such as education (whether they have a degree), work history (x years of experience in food delivery), and previous records of operating safe vehicles (x years of professional driving experience), the platform populates top insights and offers hiring managers suggestions by grading applicants from A to E (using augmented intelligence). Over time, the platform also learns what kinds of candidates are more likely to get hired in one location v
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