Chatbot in E-commerce: AI chatbot vs Live Chat vs Rule-Based

Some cards needed broader customization and so we have also utilized Adaptive cards, for instance for order details card. On Facebook Messenger this card displays as a picture, as Messenger has limited support for adaptive cards so far, but in our case, this is sufficient. We did not use Facebook’s receipt template, as it did not provide sufficient level of content customization. Bot also utilizes capability of Bot Builder to send channel specific payload and we use few Messenger card templates e.g. generic template to display contact information. A Ref URL, one of ManyChat’s Growth Tools, is a link that leads to a specific flow in your bot. They’re very handy to have because you can create different flows for different campaigns and connect each of them to different Ref URLs.

There aren’t clear, established “best bot practices” since the technology is so new. It’s up to you as a merchant to figure out how your company’s chatbot can easily reach and serve your key customers. Figure out which chat platforms your buyers use most frequently, and track your bot analytics to understand how the technology can better serve your customers.

AI Chatbot for E-commerce: 10 Top Benefits

Users can learn about new products and frequently click the “purchase now” button. Nike, a well-known shoe company, has launched an AI-based chatbot just for women. E-commerce chatbots work with the intention of converting traffic into sales.

• Users can show the bot an Instagram post of a look they love and it can help them recreate it with Sephora products.
• The natural language processing technology in the AI chatbot helps the bot talk like a real person.
• Much like a tenacious human sales assistant, the chatbot answers the customer’s queries regarding a purchase they are considering.

Then, you only need to modify the text assigned to that variable in one ManyChat, in order to make it update throughout your entire bot. In other words, you can create a variable discount_code, and assign text to it, for example, DISCOUNT20. Read more on how to set up, edit, enable or disable the Main Menu for eCommerce business here.

Does it cost too much to develop a chatbot?

When you are implementing Live Chat software on your website, the website visitors will talk with human agents but live chat agents cannot handle multiple customers at the same time. However, AI chatbots can answer the repetitive questions of every customer and collect user data and feedback. The automatic communication will engage your users and prevent them from leaving your online store. A chatbot with artificial intelligence, machine learning, and natural language processing technology is an AI chatbot.

We all know data is the king of marketing – the more you have, the more you can successfully retarget customers. Personalized conversations are one of the effective marketing strategies to captivate your target audience. Facebook Messenger offers a Messenger Platform for building bots to publish on, of course, Messenger.

Omnichannel Commerce Chatbot

Chatbots can help customers and enable them to complete transactions quickly by providing information or recommendations in response to specific consumer inquiries. Chatbots can also notify customers when an item is out of stock, suggest possible alternatives based on their preferences, and inform them when their order is scheduled to arrive. These are just a few scenarios for how chatbot for e-commerce makes life easier for both the seller and the customer.

When a customer makes a purchase, chatbots identify the patterns in their conversation. By collecting conversation data, an AI chatbot will provide valuable insights to online business owners. AI bots with machine learning technology will learn from past conversations between them and customers to identify similar patterns of potential customers.

A chatbot will allow customers to find what they are looking for in a website, as artificial intelligence technology in chatbots will help in the decision-making. If a customer cannot find their desired products on the website, then an AI-powered chatbot will recommend other related products to them with upselling and cross-selling strategies. Rule-based chatbots are the basic version that doesn’t have AI technology behind them. A rule-based chatbot will provide a set of predefined questions that will help customers choose from them to potentially solve their issues.

Through visual drag-and-drop interfaces, Manychat helps in generating many conversions. Nivea offers a simple ecommerce chatbot dedicated to just one part of their business – face care. To get the most out of a customer support bot, it’s best used alongside human-powered channels like live chat and video chat. Conversational e-commerce is proving personalized experience for online shoppers.

E-Commerce Chatbots: 9 Examples That Increase Sales and Revenue

Despite this widespread application, some people are reluctant to use chatbots and perceive them as lacking knowledge and empathy (Luo et al., 2019). The best feature of this bot is it automatically analyzes the bot’s performance according to the user, chat, and sales perspectives. Integrating this e-commerce chatbot with messaging apps like Facebook, Instagram, and Whatsapp ensures instant answers with high relevance. Ochatbot doesn’t have a complex interface, so it is easy for online business owners to customize Ochatbot accordingly. Ochatbot gives relevant product recommendations to your customers and enhances customer experience substantially.

For example, the makeup company Sephora uses Kik for one of their chatbots. Some require basic coding, but many have basic drag-and-drop models for those without programing experience. We’ll list the required skills needed for each platform and the channels where the platform can publish your bot, such as Facebook or a Shopify store.

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