AI has been useful to many industries, call centres being one of them. AI has been deployed to handle mundane tasks and has also been quite helpful in optimising human interaction. However, altering your call centre’s structure to incorporate AI technology might be quite a complicated process.
Traditional call centers have always been dogged by several problems. Customer care reps have to rely on their natural senses to detect changes in customers’ moods. Also, they typically spend most of the call time searching for answers to customers’ questions. And then, there are language and cultural barriers, which are even more apparent in diverse societies like the US and Europe.
In today's world, call centers are an essential feature of any business looking to provide high-quality customer service experience. The stark increase in demand has led to improved solutions to the technical problems that burden call centers around the world.
Future Internationale was fined €500,000 in November 2019 for infringing the EU General Data Protection Regulation (GDPR) by failing to implement clients’ opt-out requests and recording excessive comments during cold calling campaigns.
In light of the increase in data privacy breaches in the past few years, governments are looking to enforce more regulation around the recording of data. A typical data breach can cost a company $3.6 million. It can be challenging to keep up with the changes, but here are some of the key regulations that call centers must comply with.
If customers have issues about payment, but you've updated your FAQs and prepared your chatbots to respond to questions about shipment and delivery, no wonder they're calling - they can't find the answer!
Call analytics software can help you do topic classification to find out what type of calls you have and the top complaints or questions customers are calling in about.
They want to know that your company, including your call center agents, can help them solve their problem. Unfortunately, there are a few deadly phrases that your call center agents might use that can cause customers to completely lose trust in your business.
Here are the top 3 phrases.
Nearly 100 people were infected with coronavirus in a Seoul call center, forming the biggest COVID-19 cluster to date in Seoul, South Korea.
Call centers are literally a hotspot for infectious outbreaks because they typically have large numbers of people on a single floor.
Many businesses have already asked their staff to work from home to reduce the potential spread of the coronavirus amongst their employees. Last Friday, March 13, Cloudflare's co-founder and CEO Matthew Prince sent out an email to all its customers noting a 10% increase in Internet usage patterns in regions impacted by COVID-19. Peak Internet traffic has surged 30% in Italy which has had a national lockdown.
If your system does not allow your employees to work from home, you have to figure out a contingency plan so you can continue to monitor your employees and route calls even when they're at home.
The worst part is that you found out about the incidents because the customers complained, not because your own managers picked up the issues.
Is it possible to find out more promptly whether your employees are complying with your customer communication standards?
With technology, you certainly can.
NeoSound Intelligence specializes in using artificial intelligence and machine learning to understand what people say and how they say it and turn this into data for you.
One of our key breakthroughs in 2019 has been the ability to classify speech fragments into categories. Our clients have used this for market analysis, focus group polls, and customer call analysis.
Let’s take Greta Thunburg’s UN speech for example. She was named TIME’s Person of the Year 2019 for inspiring a global movement to fight climate change.