6 Super Conversational AI Use Cases: Making Life Easier One Word at a Time

There are several actions that could trigger this block including submitting a certain word or phrase, a SQL command or malformed data. Our round-up of companies using conversational AI wouldn’t be complete without mentioning Sephora. The beauty brand is consistently ranked #1 on Sailthru’s Retail Personalization Index, and its investment in conversational AI helps it get there.

This means that a conversational AI platform can make product or add-on recommendations to customers that they might not have seen or considered. For example, if a customer messages you on social media, asking for information on when an order will ship, the conversational AI chatbot will know how to respond. It will do this based on prior experience answering similar questions and because it understands which phrases tend to work best in response to shipping questions. The Aveda chatbot is one of the best examples of what conversational AI can achieve in even short periods. It enriched the online shopping experience for Aveda’s customers while also automating numerous processes including the booking process, reminders, and connecting shoppers with the customer service team.

The Building Blocks of Conversational AI

Agents can then take up challenging work that increases a company’s revenue. Conversational AI applications can be programmed to reflect different levels of complexity. This allows for variegated end products—such as personal voice assistants—to carry out interactions between customers and businesses, and to automate activities within businesses. Conversational AI operates through a blend of natural language processing (NLP), understanding (NLU), generation (NLG), and machine learning (ML). The system is trained on copious amounts of data, including text and speech, enabling it to understand, process, and generate human-like dialogue. It enables brands to have more meaningful one-on-one conversations with their customers, leading to more insights into customers and hence more sales.

The chatbot schedules interviews, reviews applications, and answers questions. It may seem obvious to say that customer care should be a top priority for businesses, but the value of efficient customer service can’t be understated. Finally, vTalk.ai comes with detailed analytics and real-time call monitoring to help you better understand your customers, spot patterns and improve customer service and sales. Hybrid chatbots combine both AI and rule-based benefits such that they are trained to say specific things in response to user queries but can also leverage NLP in order to understand the user’s intent. Serving as the lead content strategist, Snigdha helps the customer service teams to leverage the right technology along with AI to deliver exceptional and memorable customer experiences. Customers crave simple and easy interactions, it just so happens that humans can provide these.

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You can turn on your car, set your home alarm, and even pay bills all through specific apps linked to your mobile assistant. Want to learn more about how to take advantage of Conversational AI technology in your business? By now, you have a good understanding of the fundamentals of Conversational AI and its potential advantages for your enterprise. Now you’ll be able to locate the appropriate Conversational AI platform that can help you to achieve your objectives.

This leading conversational AI technology layer abstracts pre-built sentiment and social models to prioritize and seamlessly escalate to an agent when it detects that a customer needs expert advice. Sentiment detection will recognize, for example, an upset 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.

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Conversational AI helps businesses anticipate customer needs, recommend the right products/services, and gain consumer trust. Personalized customer service makes consumers feel valued and important, listened to and prioritized, and even creates an emotional connection between customers and businesses. Though Alexa and Siri are primarily for personal use, today’s Conversational AI software provides the same level of automation, assistance, and convenience to users within a business context. Conversational AI applications are available for a variety of business communication channels, including voice calling, SMS texting, chat messaging, email, and more.

Meanwhile, professional agents are free to participate in more complex queries and help build out their resumes and careers. By asking tested, tailored questions, can pique customer interest and support sales team efforts through the funnel. Simply satisfying a mundane customer request often manifests in loyalty and referrals. Regardless of whether individuals discern that a sophisticated chatbot is a “real” person, the resolution of their problems remains paramount. In this respect, Conversational AI technologies are already demonstrating considerable progress.

Google RCS is a relatively new platform for chatbots but its numerous success stories are proving this to be a viable platform for eCommerce business messaging. The Subway RCS chatbot is a business messaging bot and leverages RCS’ support for rich media to send interactive messages to consumers on their smartphones. No, Subway’s latest conversational AI hit was deployed as a Google RCS bot — a relatively new messaging platform that aims to replace traditional SMS. Once you have a clear vision for your conversational AI system, the next step is to select the right platform. There are several platforms for conversational AI, each with advantages and disadvantages.

[24]7 AIVA™ Conversational AI is a technology layer that combines the world’s most advanced NLP technology with an intent-driven engagement platform to enable ‘near-human’ conversations in 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. Conversational AI technologies depend on an intent-driven conversation design to deliver solutions for specific use cases such as customer support, IT service desk, marketing, and sales support.

However, most of these “pre-built” chatbots do not leverage conversational AI which is responsible for the life-like conversations and thus may not be as successful. Unlike some of the other bots in this list, the Insomnobot-3000 is a purely customer engagement bot with no direct sales directives. However, even without direct sales directives, the Insomnobot-3000 has been extremely successful as it was able to improve brand image and reach hundreds of thousands of new customers through its unique approach.

• Whether you need a white-labelled, on-premises, or cloud-based solution, our platform is entirely driver-based, meaning it’s highly configurable, modular, and extendable to meet your specific needs.
• Conversational AI helps alleviate workload, especially when paired with other AI-powered tools.
• AI automates mundane, tedious tasks and gives employees more time to focus on higher-level tasks.
• AI chatbot examples from companies, big and small, show success in customer interactions.
• They can be used for customer care and assistance and to automate appointment scheduling and payment processing operations.

DynamicNLP™ elevates both customer and employee experiences, consistently achieving market-leading intent accuracy rates while reducing cost and training time of NLP models from months to minutes. A differentiator of conversational AI is its ability to understand and respond to natural language inputs in a human-like manner. This enables conversational AI systems to interpret context, understand user intents, and generate more intelligent and contextually relevant responses. By bridging the gap between human communication and technology, conversational AI delivers a more immersive and engaging user experience, enhancing the overall quality of interactions.

Apple’s Siri and Samsung’s Bixby are common examples, along with a handful of others. Forethought is a leading provider of the conversational AI chat bot designed to support your customers through the entire customer journey. Our conversational chat bot works in any industry to enable you to help more customers faster. Other companies using Conversational AI include Pizza Hut, which uses it to help customers order a pizza, and Sephora, which provides beauty tips and a personalised shopping experience. Bank of America also takes advantage of the benefits of Conversational AI in banking to connect customers with their finances, making managing their accounts easier and accessing banking services. AI chatbots can also assist with lead qualification and nurturing by gathering data on potential customers and providing targeted follow-up messages.

Next, the application forms the response based on its understanding of the text’s intent using Dialog Management. Dialog management orchestrates the responses, and converts then into human understandable format using Natural Language Generation (NLG), which is the other part of NLP. Applied Conversational AI requires both science and art to create successful applications that incorporate context, personalization and relevance within human to computer interaction. Conversational design, a discipline dedicated to designing flows that sound natural, is a key part of developing Conversational AI applications. Virtual agent and IVR healthcare applications such as Plum Voice can automate management over the phone.

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