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How AI solutions for contact centres reduce costs and improve efficiency

Connect

For instance, integrating AI technologies into chatbots, such as natural language processing (NLP) and machine learning (ML), can offload customer service interactions from agents onto AI-powered self-service channels, empowering contact centre operators to handle higher call volumes. AI super-charges agents.

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How To Manage The Average Handling Time (AHT) For Contact Centers?

NobelBiz

However, it is obvious that insufficient training, incompatible interfaces and other factors might result in an increase of Average Handling Time. The AHT is a KPI that contact centers always strive to improve. But, how is the Average Handling Time (AHT) calculated?

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Essentials of Cloud Contact Centers

Noble Systems

Ultimately, your unique business needs will determine what is included in your cloud contact center system. However, there are some technologies and capabilities that are must-haves for all cloud contact center deployments – here are the ten most essential. Speech analytics is another essential for cloud contact centers.

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Building The Contact Center of Tomorrow. Better Self-Service. More Effective Agents.

SharpenCX

Our Logic+ platform allows our customers to build advanced self service solutions. When a contact center agent does get involved, the Sharpen platform combines consumer-grade user experience and enterprise-grade functionality to empower agents to do what they love doing: making customers happy. Better Self-Service.

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Boost Growth and Lower Costs with AI and Cloud Contact Center Solutions

NICE inContact

Some have turned to AI to power virtual agents, chatbots and other self-service channels. Decreased average handle time by 10 percent. Improved average speed of answer by over 50 percent at peak times. Read the full article on ICMI.com.

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Principal Financial Group uses AWS Post Call Analytics solution to extract omnichannel customer insights

AWS Machine Learning

Each year, Principal handles millions of calls and digital interactions. As a first step, they wanted to transcribe voice calls and analyze those interactions to determine primary call drivers, including issues, topics, sentiment, average handle time (AHT) breakdowns, and develop additional natural language processing (NLP)-based analytics.

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6 of the Best Apps for Remote Contact Center Teams

Fonolo

HubSpot is one of the leading players in the contact call center space and is one of the best CRM systems for most businesses. Service Hub includes a shared email inbox, live chat software, and self-service tools, all of which integrate seamlessly with Aircall for phone support.