Call Center Technology Flashcards
6 cards from real Call Center Solutions practice questions. Tap to flip, then mark Knew It or Still Learning — missed cards come back until you master them.
Read the first 6 Call Center Technology flashcards as text
What is 'Natural Language Processing' (NLP) used for in call center IVR systems?
Answer: Allowing callers to speak naturally instead of pressing menu keys, with the system interpreting spoken intent
NLP-powered IVR systems understand spoken words and phrases to route calls and provide self-service options without requiring callers to navigate touch-tone menus.
What is 'real-time agent assist' technology?
Answer: AI-powered software that provides agents with live suggestions, answers, and next-best actions during a customer call
Real-time agent assist tools analyze the conversation as it happens and surface relevant knowledge base articles, compliance reminders, or suggested responses on the agent's screen.
What is a 'virtual agent' or 'chatbot' in the context of customer service?
Answer: An AI-powered automated system that handles customer inquiries through text or voice without a live agent
Virtual agents and chatbots use AI to understand customer questions and provide automated responses or complete transactions, handling routine inquiries 24/7 without live agents.
What does 'VoIP' stand for and how does it benefit call centers?
Answer: Voice over Internet Protocol — it transmits voice calls over the internet, reducing telephony costs
VoIP transmits voice communications as data packets over the internet rather than traditional phone lines, significantly reducing call costs and enabling remote agent setups.
What is 'workforce optimization (WFO)' software?
Answer: An integrated suite combining WFM, quality management, and analytics to improve contact center performance
WFO platforms combine workforce management, call recording, quality monitoring, and analytics into one unified solution to maximize agent performance and operational efficiency.
What is 'sentiment analysis' used for in call centers?
Answer: Automatically detecting customer emotions (positive, negative, neutral) in calls or chat messages
Sentiment analysis tools process call audio or text to classify the emotional tone of customer interactions, helping managers identify dissatisfied customers and coaching opportunities.