thomas.wieberneit@aheadcrm.co.nz
How Zendesk Intelligent Triage steps up the customer service game

How Zendesk Intelligent Triage steps up the customer service game

The News On September 14, 2022, Zendesk announced the release of its new customer sentiment and intent functionality: Intelligent Triage and Smart Assist. These new AI based solutions shall “enable businesses to triage customer support requests automatically and access valuable data at scale. Intelligent Triage and Smart Assist are the next step in Zendesk’s vision to create accessible CX AI for companies of all sizes. The technology uses proprietary industry expertise and insights from trillions of customer data points and applies a vertical lens. This creates models custom to each business capable of identifying the intent, language and sentiment of each customer interaction. This unique approach to applying machine learning creates more personalized and informed interactions to better serve customers. For example, specific inquiries, such as “I’m having problems with payment”, can be automatically sent to an agent who is equipped to handle billing for a quicker resolution, while inquiries that include language written in all capital letters or in a sarcastic way will indicate a highly negative sentiment and be routed to the top of the queue. The new capabilities include: Instantly route and prioritize revenue drivers, ensuring agents are working on business-critical requestsAnalyze distribution of requests so businesses can better plan operations, collaborate across departments and identify improvement opportunities supported by data for more efficient CX operationsAutomatically guide agents on how to best resolve a customer’s issue in real-time, understand context, recommend solutions, and improve coaching and training with valuable insightsContinuously boost accuracy as the AI solutions receive feedback on predictions and recommendationsDetect sensitive information automatically to meet compliance and security needs or extract confidential data like...