Analytics Archives

5 Tips to Make the Customer Experience Even Better

Innovative solutions specifically targeted toward contact centers that serve customers across numerous channels are readily available. Retail businesses often face a variety of challenges, like high call volumes, massive orders, and aggravated customers, particularly during the holiday season. To ensure a superior customer experience is delivered, it is imperative to have a strategic plan in place. The goal is to leverage technology so that a seamless, efficient, and enjoyable contact center customer experience can be achieved no matter the channel of communication being used. Here’s a look at five tips your contact center can follow to ensure your customers have positive interactions with your brand.

Building a Foundation for Dynamic Contact Center Infrastructure Performance Monitoring and Reporting

Leveraging real-time data analytics enables a faster, more precise and effective ability to make decisions over those evaluations made with conventional data reporting. Today, Contact Centers must ensure that they are gathering and analyzing data at a fast pace in order to deliver on the ever-changing customer demands. The amount of data that is being collected from the contact center can be overwhelming and how to take advantage of that data for improving each and every customer interaction is even more challenging. That is why Blueworx continues to focus on developing key integration points for new services from artificial intelligence like IBM Watson to delivering a foundation that can enhance the delivery, collection and ability to report on key metrics and activities.

New Release of Blueworx Voice Response 7.6 for Linux

Blueworx Voice Response version 7.6 introduces a new communications infrastructure that forms the foundation for continued development around event management and reporting.
The event manager offers a new approach to the distribution, storage and sharing of events from various Blueworx components. These broadcasted events are received from an entire cluster and delivered to various applications using a high-performance Producer-Consumer Event Pipe powered by Apache Kafka.