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Visual Automation: Boost Agent Productivity with Smart Eyes

TechSee

But while happy customers are vital to the success of a business, happy representatives are equally important, especially with high agent attrition rates presenting a real challenge for contact enters in 2019. Alternatively, customers can visually interact with AI-powered assistants in self-service mode, alleviating pressure on human agents.

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5 Proven Ways to Make your Contact Center RPA Successful

TechSee

With this in mind, we’ve compiled five tips to help you overcome common barriers for properly implementing and scaling your Contact Center RPA project: Tip 1: Choose the right use cases for RPA. Consider your contact center workflows, and determine which use cases can be automated.

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Amazon Comprehend Targeted Sentiment adds synchronous support

AWS Machine Learning

Scenario 2 – Real-time call center analytics to determine granular sentiment in customer interactions. With the Targeted Sentiment API, you can get granular information within your contact center sentiment analysis. You can interact with the API with the AWS Command Line Interface (AWS CLI) or through the AWS SDK.