Information in a way that a human being could never. Therefore, for a segment with so much service flow, such as digital banks, making use of these innovations is not just a luxury for the biggest names in the market, but an obligation for any and all financial institutions. Below, you will see some examples of artificial intelligence for digital banks and what their benefits are. Speech Analytics Speech Analytics is an artificial intelligence aimed.
At one of the most important channels for digital banks, but which few brands give the necessary attention: voice service. Did you know that 47.2% of customers are dissatisfied with the bank's telephone service ? This data is from binds.co. It is necessary to perfect mobile number list do understand that it is the telephone service that your customer turns to when they need something urgent or when your other channels do not provide solutions to solve their problems. And even so, according to data collected by PhoneTrack in the 2022 Telephone Call Report, we detected that more than half of the calls are not answered by financial institutions. If you want to overcome these bottlenecks with the support of artificial intelligence for digital banks, Speech Analytics can be a good move.
This technology listens to 100% of your calls and turns them into data. In this way, service monitoring is automated and management can make more assertive decisions based on valuable information in real time. With it, you can extract information such as: Most relevant keywords said in the call; If the agent is following the service script; Mention of competition so you can keep up with what other brands are doing; Use of prohibited words (by the attendant and the customer) in calls; Performance comparison between agents; Call productivity; Among others. Click here and learn about the most complete.