Top 14 AI Chatbot Use Cases for Your eCommerce Store

But at the same time, many of your customers are coming to you in times of great vulnerability. The cost of living is on the rise and consumers are tracking their finances with more detail than ever. A chatbot that’s integrated, or better yet, built right into your contact center platform, is much more helpful for your agents and supervisors. For example, it can pull information from more sources instantly, escalate to a live agent with all the contextual information intact. Yes, chatbots can’t be expected to do everything—nor do we believe they should. They have a very unique skill set, but the goal have bots replace humans.

Pandorabots is an AI chatbot platform that allows users to create, deploy, and manage intelligent conversational agents anywhere. It provides a framework for building interactive chatbots that can engage in natural language conversations with users. All of these are without the technicalities of writing code, thus increasing customer support team efficiency and providing actionable insights with chatbot analytics. Chatbots can access and retain information to a greater extent than a human being, thus giving them the power to create a highly personalized customer experience.

Lead Gen for Marketing Agency

AI-generated backgrounds save e-commerce teams time and money on set dressing and location hunting. When your WhatsApp chatbot receives a photo, you can send it to your database for review or directly share it on the product page or social media. Because WhatsApp has a built-in camera feature, it makes it much easier to persuade customers to snap a pic or record a video of them using the product and send it to you. Additionally, using WhatsApp makes it easier to approach your customers at the right moment because they are likely to check the messages instantly or almost instantly. Shortly after your customer receives his or her order, you can use your WhatsApp presence to do a post-purchase check-in.

Users simply hold their phone up to an item or image and the bot will detect the colour. By the end of the exchange, which lasts less than a minute, the user has their skin type. They’re then given a link to a Nivea webpage full of tips and products designed to look after their type of skin.

Chatbot use cases in banking

Whether it’s providing customer support, assisting with sales, or collecting data, having a clear use case in mind will guide your chatbot’s development and deployment. By analyzing customer data, it tailors conversations, recommends products, and makes customers feel understood and valued. Think of it as a knowledgeable friend who guides customers through your product catalog, helping them make informed choices based on their preferences and needs. Your chatbot’s assistance leads to higher customer satisfaction, and that’s a win-win for everyone involved. Imagine your customers’ relief when they don’t have to endure frustrating wait times.

• Using AI for customer support also helps to improve your team productivity as the bot takes over answering FAQs that reduces the support tickets significantly.
• Unlike AI, machine learning requires no prior programming, so its application is much wider and more exponential in its reach.
• Here’s a quick roundup of some of the best ways companies have used e-commerce chatbots.
• Specifically on healthcare provider websites, insurance chatbots can act as a 24/7 insurance representative informing patients on whether their insurance plans will cover their treatments or not.

Ralph’s success showcased how chatbots can bridge the gap between customers and products, aiding in decision-making and driving sales. It provides personalized product recommendations based on customer preferences and purchase history. With your chatbot, shopping becomes a delightful journey guided by data-driven recommendations. They can pop up when needed, answer questions about products they’re looking at, advise customers on the best offers, and guide them through the entire shopping process. Once you know the requirements, feasibility, and your target customers for AI Chatbot, it’s time to start thinking about the best use-cases. Picking the right use-cases for an AI chatbot increases the efficiency of customer service teams and the overall success of AI-enabled customer experience.

In 1966, Joseph Weizenbaum’s ELIZA program was able to fool users into believing they were having a text-based conversation with real human beings. This first application of machines impersonating the real thing was just the beginning as Weizenbaum’s key operating method would be copied and built upon even to this day. Virtual try-on for apparel shows e-commerce customers how clothes look on a variety of models of diverse sizes and skin tones.

• Automate one to one conversations with Spectrm’s conversational marketing platform.
• Product and purchase recommendation with a bot is something that hasn’t been explored to its full potential yet.
• But now, AI chatbots can help effectively set and manage appointments or calls and can even assist in modifying them based on the customer or business needs.
• Let’s look at some of the benefits that this automation technology could bring to your eCommerce store.
• Consumers choose to interact with brands on the social platform to get more information about products, deals, and discounts.

They have no external dependency so they can be installed and deployed virtually anywhere. Plus, they can be integrated into different channels such as Facebook messenger, Slack or on your own website/mobile app. They are also amazing platforms to get started and build a proof of concept because the open-source version is free. E-commerce chatbots are able to clarify all customer doubts by providing 24/7 support. Your customers would no longer suffer from annoying calls and scroll endless FAQ sections. Moreover, with bots for buying online, you eliminate the human factor.

Read more about https://www.metadialog.com/ here.