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Browse explainers, definitions, and practical content to help you navigate automation, CX, and AI agents with confidence.
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Voice of Customer: Unlocking customer insights to drive business success
Voice of Customer is a structured system for capturing and interpreting what customers expect, prefer, and feel across every stage of their journey.
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How to measure customer effort score: A complete guide
Customer Effort Score measures how easy it is for customers to complete an interaction with your business, like resolving an issue, finding information, or completing a transaction.
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The role of automatic speech recognition in modern customer service
Once a back-office transcription tool, ASR is now the foundation of modern contact centers and conversational AI platforms.
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Why 2026 is the year to adopt enterprise‑grade AI support
Three converging forces are making 2026 the defining year for enterprise AI adoption in customer service.
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Zero-shot learning explained: How AI handles new tasks without training data
Zero-shot learning removes the biggest AI barrier—manual data labeling. By letting models handle unseen tasks instantly, Parloa helps enterprises scale CX automation faster, smarter, and without retraining.
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What is zero-shot classification?
AI-powered customer service thrives on clear, consistent communication. These 10 prompt templates help teams respond faster, stay on-brand, and build lasting customer trust.
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10 must-have prompt templates in customer service
AI-powered customer service thrives on clear, consistent communication. These 10 prompt templates help teams respond faster, stay on-brand, and build lasting customer trust.
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Customer success automation: How IT leaders can scale retention and growth
Customer success teams are stretched thin—automation lets them scale engagement, prevent churn, and drive growth without adding headcount.
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7 factors for choosing a conversational AI vendor for call centers
The wrong AI solution can frustrate customers with clunky handoffs, create compliance risks you didn’t budget for, and trap your teams in rigid workflows that can’t scale.
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