Intermedia Launches Contact Center AI-driven Analytics to Help Businesses Identify Critical Insights from Customer Interactions

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Intermedia Interaction Analytics™, a new feature of Intermedia Intelligent Contact Center™, helps businesses capture the voice of the customer by automating trend recognition of key words and phrases from daily customer interactions to surface insights that can materially improve business performance
Intermedia Cloud Communications, a leading provider of cloud communications and collaboration solutions to businesses and the partners that serve them, announced the release of Intermedia Interaction Analytics, a new artificial intelligence (AI)-based feature that has been added to Intermedia Intelligent Contact Center. Many businesses receive hundreds, if not thousands, of customer calls each day with valuable customer data embedded within those calls. However, important business insights from customer engagements may be lost, and therefore inaccessible to business leaders, due to the sheer volume of interactions. Intermedia Interaction Analytics and its AI engine can now illuminate the powerful business insights from patterns within high volumes of customer calls.
Intermedia Interaction Analytics transcribes every call (including voicemail) that comes through one or more designated call queues. It then uses artificial intelligence to analyze the call and assign sentiment tags based on the ratio of positive to negative words. Those with access to call recordings can use the recording search filter to search by sentiment or even by keyword or phrase. Supervisors can also automatically flag calls for further evaluation based on key phrases.
Also Read: Netcore Cloud Recognized in Forrester’s Real-Time Interaction Management and Customer Data Platform Now Tech Reports
The information gathered through Intermedia Interaction Analytics has broad application across most business functions within an organization. Some examples include:
- Support - Customer support managers can be alerted to key phrases like "cancel" to see how
- frontline representatives handle various situations and train as needed for improved outcomes;
- Product – Product teams can receive alerts for terms such as "broken" or "missing" to identify opportunities for product improvements or the development of new products or features;
- Sales – Sales managers can search positive and negative conversations to identify techniques and pitches that are working or can be improved; and
- Marketing – Marketing teams can utilize feedback to adjust campaigns with messaging that better identifies customer needs.
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