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The drive toward self-service is a reality and with good reason, as customers want self-service. TWO-PRONGED APPROACH SAVES MORE COST WITH LOWER HEADCOUNT Companies are spending more money on self-service. It’s here to stay, and it will get better over time. It would mean a savings of $1.7
The leaders of this space have already explored how AI can improve your organization’s customer service (or support center). The results have shown boosted employee productivity, enhanced accuracy, and improved self-service containment rate. This not only saves time but enables CSRs to handle more interactions with efficiency.
While selfservice is getting better and better through the use of artificial intelligence (AI) of varying degrees of sophistication, many questions continue to end up with agents, either because the customer couldn’t find the answer through self service, or the customer simply doesn’t like selfservice options.
Not averagehandlingtime or other internal metrics. If there are multiple transfers, long wait times with an agent, or other barriers then you know the answer. Taking time to map the journey your customer has taken to arrive at the right resolution is something that can be done through automation.
That means operational metrics like Average Speed of Answer (ASA), AverageHandleTime (AHT), and FCR prove to focus on controlling costs instead of ensuring overall customer satisfaction. Average Wrap-up Time: The time it takes to complete necessary work immediately following an inbound transaction.
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