The Evolution of IVR
[24]7 AIVA Conversational AI is a technology layer that combines the world’s most advanced natural language processing (NLP) technology with an intent-driven engagement platform to enable ‘near-human’ conversations in your digital and voice channels. AIVA understands slang, local nuances, and colloquial speech, and can be trained to emulate different tones by using AI-powered speech synthesis.
Give your customers the amazing experience they deserve from their very first contact with your brand. Whether customers are searching for information or need assistance with transactions, AIVA guides them at every step with natural conversation in their chosen language.
AIVA uses natural language understanding to intelligently process user inputs against multiple models, enabling your bot to respond in a more human-like way to non-transactional journeys. AIVA understands slang, local nuances, colloquial speech, and can be trained to emulate different tones by using AI-powered speech synthesis.
Our AIVA AI technology layer abstracts pre-built sentiment and social models to prioritize and seamlessly escalate to an agent when it detects a customer needs expert advice. [24]7.ai sentiment detection will recognize an angry customer and immediately route them to an agent. You can also prioritize unhappy customers in the system, placing them in special queues or offering exceptional services.
Deep learning technology is a machine learning technique inspired by the human brain or ‘neural network’. It allows AI to learn by association, just like a child. The more data AI is exposed to, the better it gets, and the more accurately it can respond over time. Our AI models are trained with over two decades of contact center data from various voice and digital channels, resulting in smarter and more accurate responses to human inquiries. AIVA learns from interactions between customers, chatbots, and human agents, optimizing intent models using AI-powered speech synthesis and further improving response accuracy over time.
Using behavioral analysis and tagging activities, AIVA can understand the true meaning behind each consumer’s request. Knowing intent allows you to deliver the right response at the right moment through an automated bot or human agent.
Omnichannel Orchestration
Consumers today use more devices and channels than ever. With AIVA, you can let them choose where, how, and when to connect with your brand and ensure a familiar experience wherever they are—including digital, voice, and messaging channels. With AIVA at the core, the experience is seamless and consistent at every touch point.
Sentiment Analysis and Social Detection
Unlike most AI platforms, AIVA can detect when a customer is upset and prioritize service by escalating them to a live agent. This emotional intelligence paired with advanced natural language processing (NLP) helps you understand what your customers mean, not just what they say. Also, social models give your chatbot or virtual assistant personality because automated interactions that feel more human make a big difference to customer satisfaction.
Deep Learning Technology
AIVA combines deep learning technologies with our unique collaborative tagging to learn and evolve, bringing ever smarter and more accurate automation into the equation. We start with AI models trained on two decades of contact center expertise and add technology that enables the AI to learn by association. AIVA uses interactions between customers, bots, and agents to learn and improve continuously.
With AIVA conversational AI, you can extend messaging capabilities across emerging channels to carry on asynchronous conversations and meet your customers where they are, boosting satisfaction and loyalty.
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Improving Contact Center Performance with Virtual Agent and Chatbot Technology
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