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:
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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.
Generic queries clogged phone lines. AI now resolves 60% of app inquiries, freeing advisors to solve complex customer issues.
External dev quotes hit $112k. Two engineers used AI to build a custom tool in six weeks, cutting analysis time from weeks to minutes.
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.
An aging homegrown CRM held back 1,700 agents. Now, an AI co-pilot helps them draft faster, higher-quality emails from a single screen.
Managers spent hours manually calling applicants, losing many to delays. Now, an AI agent screens and auto-schedules interviews via text.
Manually evaluating high call volumes was slow and inaccurate. Now, AI extracts sentiment so sales teams can refine their outreach.
Manual call evaluations delayed insights by weeks. Now, bots score calls at scale, empowering analysts to synthesize data in hours.