Analysts audited 3% of 70k monthly tickets. AI now evaluates every interaction, reopening predicted negative cases for human agents.
A consumer goods company managing over 200 brands and resolving more than 70,000 customer support tickets per month.
With thousands of weekly interactions, analysts could only manually audit 3% of conversations. The manual quality assurance process was highly...
Acquirer and operator of third-party e-commerce brands, primarily on Amazon.
AI-powered support automation platform for customer and employee helpdesk tasks.
Thrasio's Quality assurance is part of this use case:
Related implementations across industries and use cases
Manual content reviews took 6 hours weekly, blocking chat adoption. Now, AI auto-verifies policies, cutting staff QA to under an hour.
Associates manually routed complex tickets and managed 47K product tags. Now, AI agents triage requests and classify attributes.
Vague surveys hid why 360K members called. Managers now use AI to analyze every conversation, score agents, and train support chatbots.
Vague surveys hid why 360K members called. Managers now use AI to analyze every conversation, score agents, and train support chatbots.
Student insights were trapped in unreviewed audio. AI securely evaluates every call to power instant feedback and proactive coaching.
Employees previously broke work into rigid tasks. Now, they delegate high-level goals to agents that work autonomously for hours.
Recruiters juggled disconnected systems while managers fielded candidate calls from the back office. An AI now screens and engages 24/7.
Basic troubleshooting consumed agents' time. Now, an AI fluent in local dialects independently resolves 73% of these cases.
Manual call evaluations delayed insights by weeks. Now, bots score calls at scale, empowering analysts to synthesize data in hours.
Analysts audited 3% of 70k monthly tickets. AI now evaluates every interaction, reopening predicted negative cases for human agents.
A consumer goods company managing over 200 brands and resolving more than 70,000 customer support tickets per month.
With thousands of weekly interactions, analysts could only manually audit 3% of conversations. The manual quality assurance process was highly...
Acquirer and operator of third-party e-commerce brands, primarily on Amazon.
AI-powered support automation platform for customer and employee helpdesk tasks.
Thrasio's Quality assurance is part of this use case:
Related implementations across industries and use cases
Manual content reviews took 6 hours weekly, blocking chat adoption. Now, AI auto-verifies policies, cutting staff QA to under an hour.
Associates manually routed complex tickets and managed 47K product tags. Now, AI agents triage requests and classify attributes.
Vague surveys hid why 360K members called. Managers now use AI to analyze every conversation, score agents, and train support chatbots.
Vague surveys hid why 360K members called. Managers now use AI to analyze every conversation, score agents, and train support chatbots.
Student insights were trapped in unreviewed audio. AI securely evaluates every call to power instant feedback and proactive coaching.
Employees previously broke work into rigid tasks. Now, they delegate high-level goals to agents that work autonomously for hours.
Recruiters juggled disconnected systems while managers fielded candidate calls from the back office. An AI now screens and engages 24/7.
Basic troubleshooting consumed agents' time. Now, an AI fluent in local dialects independently resolves 73% of these cases.
Manual call evaluations delayed insights by weeks. Now, bots score calls at scale, empowering analysts to synthesize data in hours.