Abstract
The landscape of remote work has significantly altered operational dynamics across various sectors, particularly in customer service. This paper delves into the complexities and dissatisfaction associated with time and attendance systems for remote customer service employees. It further explores innovative solutions, leveraging technology and data analytics, to enhance accuracy in labor forecasting and activity tracking, ultimately aiming to boost both employee satisfaction and customer service quality
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