Technological advances are changing the landscape of customer service roles. While the U.S. Bureau of Labor Statistics predicts a 2% decline in job growth from 2018-2028, many roles known traditionally as customer service are morphing into more specialized roles specific to their industry.
While it becomes increasingly easy to interact with customers via smartphones or other electronic devices, these customer-facing roles maintain the personal touch between a company and its customers, no matter how big or out of reach. As such, demands on customer service representatives will grow in scope and skill.
Employees in these client-facing positions use customer service skills to solve technical problems, choose a product, schedule an appointment, resolve conflict, and more.
There are literally thousands of customer service positions within hundreds of industries.As such, experience and education requirements typically vary. The good news is that most customer service roles are entry level, meaning that many employers are willing to train you so long as you possess some of the key soft skills, such as friendliness, professionalism, and bearing.
For most customer service jobs, you need only a high school diploma and a willingness to handle customers from all walks of life. As many of these jobs become more specialized, you might consider taking it upon yourself to read the job description and learn some of the desired technical skills (like various kinds of software) in order to become more competitive.
Don’t you sometimes think that running a business would be much easier if it weren’t for all those customers? Well, every business owner thinks so from time to time.Providing 24/7 customer support in different time zones even during the holidays is a daunting task, especially for a business. Still, keeping customers happy and satisfied is vital for your business success, isn’t it?But these care executives do it well.If companies were to invest in AI and Human-Machine Collaboration at the same level as the top performing fifth of companies, they could boost revenues by 38 percent and lift employment levels by 10 percent between 2018 and 2022.
That equates to an average of US$7.5 billion and 5000 jobs for an S&P 500 company in that time.f companies were to invest in AI and Human-Machine Collaboration at the same level as the top performing fifth of companies, they could boost revenues by 38 percent and lift employment levels by 10 percent between 2018 and 2022. That equates to an average of US$7.5 billion and 5000 jobs for an S&P 500 company in that time.
Due to this a lot of avenues, business opportunities, and jobs are opening up.
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