The leading enterprise conversational automation platform
Deploy virtual voice agents for automated phone conversations
Conversational AI Analytics Suite for 360° Insights
Elevating customer service with AI-powered Agent Assist
Turnkey ecosystem integration with pre-built connectors
Fast and efficient call handling with automated ID&V and smart routing, all in natural language
Enabling frictionless, transactional customer service on any voice or text channel
Giving service agents superpowers through AI-infused agent augmentation
Enhance customer interactions with AI on the frontline
Connect customers to the right agent on the first try
Give your agents the confidence to solve complex requests
Boost your customers’ experience and agents’ efficiency
Improve customer satisfaction with detailed insights
Engage with your customers on the platform of their choice
Drive appropriate actions with intelligent processes
Integrate easily with existing enterprise infrastructure
Increase operational efficiency and reduce agent attrition
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An in-depth guide into the trusted use of AI in customer service automation
Find out everything you need to know about establishing "Explainable AI" based on the AIC4 criteria catalogue.
Businesses that use Conversational AI for e-commerce - for product selection and customer service - are providing experiences that convert a higher rate of new customers, retain more existing customers, and increase revenues through up-selling and more satisfied online shoppers. So much so that Juniper Research predicts 70% of chatbots accessed will be retail-based by 2023.
Conversational AI makes it easy for online shoppers to find exactly what they are looking for, fast. The consumer simply needs to ask, using their own words, and the chatbot provides accurate, quick answers, assisting them with effortless online purchases. Furthermore, conversational data can be used to provide personalized recommendations and create better shopping experiences and increased loyalty.
For example, let’s say an online shopper purchased a hat. To complement it, the chatbot suggests some gloves that just went on sale. The chatbot may already know her sizing, color choices and preferred styles or brands. She asks if they come in leather because she doesn’t like angora, and if they are true to size. The chatbot finds a pair in leather, and then locates comments in the reviews about sizing, which helps her make a decision.
With this experience, not only has the sale value increased, but you’ve learned more about the customer’s specific tastes to help with future sales.
Watch this video to see how AI chatbots can influence virtual shopping experiences.
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