Traditionally, businesses made the switch to Voice over Internet Protocol (VoIP) because of its cost savings compared to traditional phone systems. Not only were they cheaper, but also more flexible and easier to scale. That in itself was a big win.
But now, VoIP has developed to the point where it’s not just about making and receiving calls. Actually understanding them has become equally as important.
Natural Language Processing (NLP) gives these systems the ability to do that and we are starting to see VoIP that understands, interprets and responds to human language.
What Is Natural Language Processing?
In a nutshell, NLP is the technology which enables computers to understand spoken and written language. They achieve this by analysing things like sentiment, picking up on intent and extracting key pieces of information.
As a result, the computer can then generate human-like responses and summarise conversations.
Virtual assistants, AI chatbots and automated call routing systems all use NLP, and these are things that humans interact with on a day-to-day basis.
How Does NLP Impact VoIP Systems?
NLP in itself is already a highly advanced technology. But once it becomes integrated with VoIp systems, it turns a simple phone system into a highly intelligent communication platform which businesses are now seeing the benefit of using.
Enables More Intelligent Conversations
Traditionally, Interactive Voice Response (IVR) systems are very rigid, meaning callers had to follow a structured menu where you could press 1 for sales, press 2 for support and so on. Sure, they are efficient but they can also be frustrating especially if you don’t have the time to wait on the line.
On the other hand, NLP-powered VoIP allows customers to specify what they need and it then routes the call accordingly. It seems like a small adjustment but it can drastically improve the overall customer experience.
Call Transcriptions In Real-Time
Another feature that NLP in VoIP systems enable is speech-to-text transcription, all in real-time. As a caller is speaking, the system identifies major keywords and predicts the likelihood of any escalation.
Being able to do this can significantly benefit industries that require compliance, such as the health, finance and legal sectors. These companies can automatically archive their transcripts, generate summaries and even search for specific conversations based on keywords.
AI-Powered Call Summaries
For sales and support teams in particular, admin can take up a lot of time and effort. In the past, agents would have to write notes, send follow-ups and update their CRM systems after wrapping up a call.
Fortunately, VoIP systems with NLP integrated into them can create concise summaries of every conversation, identify the natural next steps and automatically update CRM tools. It saves time, but it also decreases the risk of human error.
Conducts Sentiment Analysis
In human communication, it’s not just what you say but rather how you say it. NLP-powered VoIP analyses a caller’s tone, word choice and any emotional signals throughout the conversation that might indicate how they are feeling.
For businesses, it’s the fastest way to identify if a caller is frustrated and to implement damage control before escalations happen. Over time, it also gives a good indication of recurring issues or where improvement is needed.
Allows Use Of Voice Biometrics For Security
Since VoIP uses the Internet to work, it automatically becomes a cybersecurity risk. To mitigate this risk, traditional systems often use security questions, PIN codes or one-time passwords.
On the other hand, NLP-powered VoIP analyses speech patterns and specific vocal characteristics to verify a caller’s identification. It’s a major competitive advantage for companies who manage confidential information and reduces the risk of fraud.
Considerations To Keep In Mind When Using NLP In VoIP Systems
Naturally, this integration does come with its own set of challenges. While NLP technology has become highly advanced, it’s not 100% accurate all the time. Any background noise or industry-specific terminology could throw it off during a call.
The issue of data privacy is also a concern because calls are recorded and analysed. This means that they would need to follow strict compliance laws and regulations such as the General Data Protection Regulation (GDPR).
Nevertheless, NLP is fundamentally redefining what a VoIP system can do. What once began as a cost-effective telephone solution has now evolved into a system that can understand human intent, analyse emotion and tone while transcribing conversations and driving strategic decision making.
