Declining Customer Service Standards in Australia's Retail Sector
Retail service standards in Australia have significantly declined, leading to frustrating customer experiences.
Enhancing Customer Service with Large Language Models: A Practical Framework for Integrating LLMs with Existing Systems and Guiding Documents
A framework called CHOPS (CHat with custOmer Profile in existing System) that efficiently utilizes existing databases or systems, provides accurate and reasonable responses, and leverages the combination of small and large LLMs to enhance customer service performance while maintaining cost-effectiveness.
The Art and Science of Effective Complaining
Using the "complaint sandwich" effectively.
Uncovering Customer Issues through Topological Natural Language Analysis at Amazon
The author proposes a novel machine learning algorithm that leverages natural language techniques and topological data analysis to monitor emerging and trending customer issues.
The Challenges of Customer Service Hotline Accessibility
Companies are cutting off phone-based customer service to save costs, leading to customer frustration and inefficiency in problem resolution. The lack of human contact in customer service interactions can erode trust and drive customers away.
Africa's Pocket Customer Support Team Assistance
The author emphasizes the importance of customer support in Africa, highlighting the need for efficient assistance.
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