The purpose of intelligent quality inspection is to replace manual inspection with robots and help enterprise managers solve the problem of manual quality inspection. Compared with manual work, intelligent quality inspection can reduce the labor cost by more than 90%, improve the quality inspection efficiency, and achieve 100% full coverage, which brings a new management mode to the customer service center.
What does traditional quality inspection depend on? The naked eye, experience. Problems: different quality inspection standards, low efficiency and low coverage.
Only 1%-2%. With the increase of business volume of enterprises, quality inspectors can’t detect every recording and record, and usually adopt sampling method, which is easy to miss inspection, not only ignoring a large number of work recordings, but also leading to the lack of representativeness of quality inspection results.
Generally, the fastest time for manual quality inspection is the next day to conduct sampling inspection on the recordings or records of the previous day, so managers cannot find problems at the first time and deal with risks in time.
Changes in indicators and business are not linked to quality inspection in time, so it is impossible to find possible problems in time and intelligently.
The results of manual quality inspection are limited by the subjective thinking and professional judgment of quality inspectors, and different quality inspectors have different testing standards, which leads to the lack of objectivity of quality inspection results.
What does AI quality inspection depend on? Constantly optimized AI capabilities. From human to AI, there are many changes: reducing labor costs, improving coverage, unifying testing standards, and improving efficiency … The emergence and application of artificial intelligence (AI) technology has made it possible to make up for the shortcomings of manual quality inspection.
Solve the problems of low sampling rate and low efficiency of manual quality inspection, and the quality inspection coverage rate is 100%, which greatly improves the quality inspection efficiency.
Complete dimension evaluation, analyze and extract effective skills in high-quality voice cases, and improve business skills through employee learning and training.
Mining users’ high-frequency problems, quickly finding and feedback, is convenient for managers to formulate effective strategies before risks are formed, thus curbing the scope of influence and optimizing service strategies.
Solve the feedback problem, improve customer satisfaction, effectively discover the knowledge that customer service lacks, help customer service improve service quality, and improve customer service satisfaction. Excavate high-frequency problems, feed back to business optimization practice, and effectively reduce customer complaint rate.