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...
Thrasio's Quality assurance is part of this use case:
Acquirer and operator of third-party e-commerce brands, primarily on Amazon.
AI-powered support automation platform for customer and employee helpdesk tasks.
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.
Student insights were trapped in unreviewed audio. AI securely evaluates every call to power instant feedback and proactive coaching.
Manual sampling left most calls unreviewed. Now, AI analyzes 100% of interactions, driving a 45% reduction in calls per sale.
Store managers lost applicants to a 10-day hiring cycle. Now, an AI agent screens and schedules via text, saving thousands of hours.
Shoppers built lists item-by-item. Now, they build full baskets in one prompt, while staff automate internal workflows.
Inboxes overflowed with tracking and sizing queries. An AI now locates orders and asks player height to size gloves instantly.
Specs scattered in PDFs meant fixes took weeks. Now, autonomous agents access unified data to resolve over 25% of cases instantly.
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...
Thrasio's Quality assurance is part of this use case:
Acquirer and operator of third-party e-commerce brands, primarily on Amazon.
AI-powered support automation platform for customer and employee helpdesk tasks.
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.
Student insights were trapped in unreviewed audio. AI securely evaluates every call to power instant feedback and proactive coaching.
Manual sampling left most calls unreviewed. Now, AI analyzes 100% of interactions, driving a 45% reduction in calls per sale.
Store managers lost applicants to a 10-day hiring cycle. Now, an AI agent screens and schedules via text, saving thousands of hours.
Shoppers built lists item-by-item. Now, they build full baskets in one prompt, while staff automate internal workflows.
Inboxes overflowed with tracking and sizing queries. An AI now locates orders and asks player height to size gloves instantly.
Specs scattered in PDFs meant fixes took weeks. Now, autonomous agents access unified data to resolve over 25% of cases instantly.