Ai improves accuracy
at “helpdeskers,” a customer service company, good data preparation means their ai system understands and categorizes correctly. They have faster resolution times and highly personalized service. Also, the ai system can identify specific issues as they arise (through a spike in calls, for example) because the data sources are complete and updated regularly. It then gives the team the information they need to proactively address problems and improve overall customer satisfaction. Ai-generated reports let management know which topics are generating the most calls, so they can make good staffing and training decisions for the call center.
In contrast, “quickfixing” doesn’t prioritize data afghanistan phone number list cleanliness. Calls aren’t coded correctly in the system, and they aren’t tracking call topics along with the date and time of the call. Because the data is incomplete and sometimes inaccurate, ai can’t contextualize customer complaints. The service team doesn’t get the information it needs on trending issues.
so they can’t be proactive or prepared to solve them. This not only frustrates customers but also in the long term it can result in misguided business strategies. Since management can’t clearly see these issues evolve in real time, they make decisions based on inaccurate insights.