When starting out building AI-driven solutions, including IBM Watson, Google Dialogflow, Amazon Lex, or others, the discussion always starts out with “Intents and Entities”. Not overly difficult,.
In the first part of our blog, Common Voice and Chat Script Problems, we began to discuss some simple tips to improve customer experience during voice and chat interactions. Steps such as adjusting.
Contact centers are complex and delivering quality voice and chat interactions is among one of the most challenging initiatives out there. But that doesn’t mean there aren’t some relatively simple.
The world as we have known has definitely changed a lot this year, and with these changes also came new challenges for businesses seeking to engage with their customers across, in many case, new.
In a season when many were forced to trade watercooler chatter at the office with Slack messages and company lunches with Zoom happy hours, many businesses have been surprised by the consistent and.
For some, the switch to work-from-home sounded like an opportunity to make some serious routine upgrades—who didn’t mind trading the office’s K-cups for some whipped coffee? Commutes went from 20.
The adoption of AI in the contact center has long been a topic of discussion. With spikes in call volume due to the COVID-19 virus and accompanying global pandemic , businesses are now looking to.
We’ve shared just how critical a well-tuned IVR system is. After all, your customers consider your inbound contact center to be as much a representative of your organization as your storefront or.
AI is redefining the customer experience and organizations are investing in implementations that support deeper uses for AI and NLP to enhance customer service and reduce costs. There are three key.