talent management
Automatic
Engagement
FOUR WAYS AI IS SOLVING SEASONAL HIRING CHALLENGES
By Chris Collins
During this time of the year, many organizations increase
their workforce to take into account the demands on their
business. In fact, the top four industries that hire more
people in readiness for the seasonal period are retail, hos-pitality,
tourism and media.
However, volume recruitment and seasonal hiring create
many challenges to the recruitment process that many organiza-tions
experience time and time again. Fortunately, organizations
have a new tool at their disposal, helping them to achieve cus-tomer
success – artificial intelligence. Here’s how the innovative
new tool is helping to aid in the recruitment process and solve
hiring challenges.
CHALLENGE #1: MANAGING A LARGE NUMBER
OF APPLICATIONS
According to Career Arc, 65 per cent of candidates never, or rarely,
hear back from a company after an application. Conversely, those
same candidates are 3.5 times less likely to re-apply to that same
company and 72 per cent will also share that negative experience
online or with somebody directly. Over time, this will erode and
weaken your employer brand. If prospective employees hear from
their friends and colleagues that your hiring process is generally
unresponsive, some of the best candidates may simply not apply.
In the world of recruitment, it is a challenge for employers to
communicate well with all of their candidates. Especially for high
volume recruiting where this would require communicating with
thousands of candidates in addition to a recruiter’s normal screen-ing
functions and other duties.
Using artificial intelligence, like chatbots for example, can take
away the strain of managing and communicating with a large num-ber
of applicants. Each and every applicant will have an immediate
engagement with your organization. In real time, a chatbot can:
■■ Collect information from candidates such as their
contact information.
■■ Ask screening questions about candidates’ salary expectations,
availability, location, skills and experience.
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