Case Study: a large international trading company achieves automated QA and customer sentiment insights with Level AI

Large International Trading Company - Customer Case Study

A large international trading company faced significant challenges with its manual quality assurance (QA) processes. Its QA team was burdened with downloading transcripts and manually scoring interactions in spreadsheets, which was inefficient and limited visibility into customer sentiment. The company needed to automate its QA auditing to gain holistic insights while ensuring strict data security for its sensitive financial operations. They partnered with Level AI to address these issues.

Level AI implemented a comprehensive solution that automated QA scorecards and integrated with the company's Salesforce CRM. The platform enabled real-time auditing based on triggers like low customer satisfaction scores and provided deep behavioral and sentiment analysis through its semantic intelligence and generative AI capabilities. This provided the company with a unified view of customer interactions and ensured compliance with security standards. As a result, the trading company streamlined its operations, gained proactive insights into customer concerns, and enhanced its overall customer service performance.