Category

Speech-to-text
Feelingstream churn risk 2021

Keep your customers with you – churn risk detection and actions

When a customer finds that they are dissatisfied with a company’s services or go as far as deciding to leave a company, there are usually warning signs. The churn rate of a company can be managed and kept down if the whole company works for it via analyzing customer interactions, customer activities and takes steps to avoid...

An automated way to eliminating avoidable inbound calls

This is how we use AI to help you discover avoidable inbound calls and eliminate them for better self-service and customer satisfaction.

10 typical questions that AI-driven call quality monitoring can help you answer – Part II

Businesses with large call volumes typically have similar customer service challenges. Here's how Feelingstream helps find answers.

Why you need to change how you do call quality monitoring – Part I

This common approach to call quality monitoring is costing businesses valuable time and opportunities to grow their business.

How to use speech-to-text to find business critical customer service calls

Our speech to text solution makes customer calls searchable in text format. But this new kind of customer insight calls for a new way of thinking.

How to improve your customer self-service portal and reduce calls to customer service

Learn more about how Feelingstream has helped businesses improve their customer self-service portals and reduce incoming customer calls.

Our new Finnish speech-to-text (ASR) solution helps detect sales leads from customer calls

We recently wrapped up developing our own Finnish speech-to-text model and now it’s ready! Finnish speech-to-text is designed to help large companies detect business critical patterns from customer interactions such as sales leads, efficiency problems, unhappy and leaving customers and customer service quality. Analysing customer calls helps sales managers find new sales leads (upsell and...