Conversational AI in eCommerce: 9 of the Most Successful Chatbot Examples Medium

In both of these ways, Lego identified a need for powerful digital assistance that could provide recommendations to users based on their requirements, tastes, and preferences. Lego knew that the most efficient way of doing this was with a chatbot and thus Ralph was born. H&M, the global clothing retailer understands that shoppers are becoming more style-conscious these days and don’t just buy clothes randomly. To cater to this growing demand, H&M created an AI chatbot on Kik, a popular messaging app with 300 million users. Aveda, a botanical hair and skincare brand popular among both enthusiasts and professionals, wanted to improve its online booking system and leverage automation.

They have proven excellent solutions for brands looking to enhance customer support, engagement, and retention. Overall, these four components work together to create an engaging conversation AI engine. This engine understands and responds to human language, learns from its experiences, and provides better answers in subsequent interactions.

Ever-evolving human language

Salesken’s conversational AI brings you the best and the latest technologies revolving around artificial intelligence to deliver a superior customer experience. Salesken’s emotion detection engine can identify your customers’ needs and help identify their satisfaction levels with reactive and proactive cues. AI-based chatbots can help businesses understand their buyers better, their preferences, where they hang out, and other relevant information tailored to their personality to pitch accordingly. In this blog post, we cover what conversational AI is, how it works, how it’s different from traditional chatbots, the benefits of conversational AI and some examples.

For example, when you call a pharmacy for prescription refills, you may be assisted by an interactive voice assistant that can take your personal and prescription information and place an order for you. For example, Uber uses conversational AI to allow customers to book a taxi and receive real-time updates on their ride status. KLM uses Conversational AI to deliver flight information, and CNN and TechCrunch use it to keep readers up to date with news and tech content, respectively. Companies in various industries, such as healthcare, finance, and retail, are already using chatbots for customer service to streamline their support processes and deliver better customer experiences.

Put it all together to create a meaningful dialogue with your user

As technology advances, the integration of conversational AI platforms will become a critical component of various business operations. Embracing conversational AI now positions organizations to stay ahead of the curve, ensuring they remain competitive and responsive to evolving customer demands. At Valenta we have considerable experience with conversational AI implementations. We have helped industries in many different segments implement AI, RPA and conversational AI. To talk to one of our managing partners certified with digital transformation, please reach out to them here. Conversational artificial intelligence (AI) refers to technologies, like chatbots or virtual agents, which users can talk to.

If the customer wants to talk to a human agent at any point, your business should make the handoff an easy transition. Using behavioral analysis and tagging activities, conversational AI technologies can understand the true meaning behind each consumer’s request. Knowing intent allows companies to deliver the right response at the right moment through an automated bot or human agent. Most conversational AI uses NLU to intelligently process user inputs against multiple models, enabling a bot to respond in a more human-like way to non-transactional journeys. The core technology understands slang, local nuances, colloquial speech, and can be trained to emulate different tones by using AI-powered speech synthesis. A conversational AI platform can personalise customer conversations if it integrates with other tools and the tech stack of a company.

Plus, the conversational AI space has come a long way in making its bots and assistants sound more natural and human-like, which can greatly improve a person’s interaction with it. One of the original digital assistants, Siri is able to process voice commands and reply with the appropriate verbal response or action. Since its introduction on the iPhone, Siri has become available on other Apple devices, including the iPad, Apple Watch, AirPods, Mac and AppleTV.

And while a human worker can spot and offer to upsell and cross-sell opportunities, so can a properly trained virtual assistant—improving conversion rate from lead to purchase. NLU, a subset of NLP, discerns the intent behind a user’s query, while NLG facilitates the generation of fitting textual responses. The incorporation of ML ensures that the system constantly evolves and refines its response quality over time. 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. 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. Some of the most popular and successful chatbots have been deployed as standalone and website chatbots and on popular messaging platforms too, such as Facebook Messenger, WhatsApp, and Google RCS.

How to create a conversational bot?

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