The information in bank call centers, phone voice systems, ticketing systems, and various integrated channels is becoming increasingly complex, leading to a large volume of service data. Most companies have only 2-3 quality inspectors but have to handle thousands of service data points each month. Most quality checks in call centers are done manually through random sampling, relying on inspectors to listen to recordings, review records, and make professional judgments. As business volume grows, the shortcomings of traditional quality inspection methods become more apparent: low coverage, low business value, low efficiency, and inconsistent quality inspection standards.

The GienTech Intelligent Quality Inspection System is built on voice recognition, natural language understanding, and big data processing technologies, offering full data storage and quality inspection tools for contact centers. Through configurable and trainable inspection models and task engines, the system enables fully automated quality inspections, comprehensively identifying risk information in vast amounts of conversational audio, raising inspection coverage to 100%, improving inspection efficiency, and reducing labor costs and operational risks.

Intelligent quality inspection not only replaces manual inspections but also enables the mining and analysis of speech content, providing data support for business decision-making. It helps reduce customer complaints, improve service and marketing skills, and capture market opportunities.

The GienTech Intelligent Quality Inspection System has developed rich intelligent quality inspection models, customizable menus, and task management features. It provides fully automated quality inspections, complete coverage with no missed checks, and real-time batch inspections, solving issues such as high costs, low efficiency, delayed business analysis value, and inconsistent quality inspection standards in traditional quality inspection processes.