Choosing Best Use-Cases For Your Chatbot

E-commerce Chatbot How To Deploy Them on WhatsApp

ecommerce chatbot use cases

Learn how Natural Language Processing empowers chatbots to enhance customer interactions and streamline operations. Giosg AI chatbot for eCommerce uses Natural Language Processing(NLP) to match customer questions to requests in its knowledge base. Enter Giosg AI enables you to build knowledge bases with your chat logs and live conversation history. Due to the competitiveness of the industry, differentiation can increase your chances for success.

The company’s chatbot handled customer queries efficiently using natural language processing (NLP). The brand serves an altruistic purpose of dis-entwining the demand and supply chain for a vast population and faced umpteen customer support queries with long wait times and limited agent help. It wanted to manage the large volumes of incoming queries and lack of agent availability with an e-commerce chatbot. The company was able to automate a delightful shopping experience for customers which led to higher customer satisfaction. Along with this, the brand expanded globally by proving customer support in multiple languages.

Personalized and Proactive Customer Service

This degree of personalization can boost client loyalty and increase revenue. When customers are looking for something but don’t have the patience to apply various filters, they can send a message to your AI chatbot about what they’re looking for. In response, your chatbot can send them a carousel of all the products that meet their requirements. Customers can also have the option to conveniently make a payment through the chatbot instead of being directed to a different page. The less complicated checkout process and more manageable payment process encourage customers to actually complete the transaction.

ecommerce chatbot use cases

Bots can also monitor the user’s emotional health with personalized conversations using a variety of psychological techniques. The bot app also features personalized practices, such as meditations, and learns about the users with every communication to fine-tune the experience to their needs. They can track the customer journey to find the person’s preferences, interests, and needs.


You can also inform customers about upcoming events like Q&As or webinars through chatbots. Tangerine uses a simple (rule-based) chatbot to provide relevant responses to frequently asked questions about its products and services. It provides an option to send a message and a list of possible queries a customer might ask.

ecommerce chatbot use cases

Chatbots for E-commerce can upgrade your customer experience, so that you acquire and retain more customers, giving you an edge over your competitors. In this blog, we’ll have an in-depth look into what E-commerce chatbots are, their benefits, use-cases and how you can implement them in your business. H&M is a well-known clothing retailer that created a chatbot to ask customers questions around their style and offer them photo options to select from. Based on this input, the bot can create individual fashion profiles and make suggestions for suitable outfits and direct the user to the checkout. Customers can create outfits from the chatbot’s suggestions, and browse, enabling them to have a fully interactive online shopping experience.

Generative AI Chatbot in eCommerce: Use Cases, Benefits, and Statistics Behind

As we said, Aerie, a women’s intimates’ retailer, uses a product recommendation chatbot to offer customers a more personalized shopping experience. This chatbot’s main function is to suggest items according to customers’ preferences. By implementing the “this or that” function, the customer has to choose between two options to give a chatbot the idea about their preferences. After narrowing down the customer tastes, the chatbot makes personalized recommendations according to unique style preferences. One of the chatbot use cases is to recommend products on the basis of customer preferences.

ecommerce chatbot use cases

Soon, chatbots would be evolving way past pattern matching techniques with capabilities like real-time learning through evolutionary algorithms. Facebook opened its developer platform in 2016, espousing the capabilities of its Messenger chatbot. By this time, organizations around the world were adopting chatbots for a variety of business-focused use cases. Generative AI can also be used to analyze consumer search trends to improve SEO and identify content that customers are searching for. This insight helps e-commerce brands enhance blog posts and product descriptions to improve their search engine rank.

And currently, more businesses are adopting its use for several purposes. Botsify also supports chat features for your sales team by using conversational forms to capture quality leads, increase conversions, and improve overall customer experience. Botsify is a chatbot automation platform that facilitates friendly conversations and provides quick responses to customer inquiries. It empowers your support team to provide 24-hour support using an automated chatbot across several platforms like your website, Telegram, WhatsApp, Facebook Messenger, and Instagram. The customer experience tool combines a no-code visual builder with responsive templates to help you create automated workflows, with preset conditions for building and launching your chatbot. This allows you to design bots for your website and other platforms like WhatsApp and Facebook Messenger.

ecommerce chatbot use cases

This demonstrates the growing reliance on AI-powered tools to improve customer interactions and create a more seamless shopping experience. Imagine conversing with AI-based virtual assistants who can help you find exactly what you’re looking for, offer recommendations based on your past purchases, and then complete the transaction. AI-powered conversational commerce aims to revolutionize shopping by providing personalized, convenient and more efficient service. Integrating an AI ChatBot with WordPress, a popular content management system, enables businesses to provide enhanced user experiences and valuable support. The AI ChatBot can handle customer inquiries, provide personalized recommendations, assist with content navigation, and improve user engagement.

The limitations of chatbots: Using bots the “right way”

Your online business will drive more sales and invite more website visitors with eCommerce chatbots. Ecommerce bots use AI to be able to automatically answer simple questions from the user, automate conversations with customers, and send shopping cart reminders at optimal times. AI chatbots can easily personalize every interaction and respond to customer queries with personalized product recommendations. They can also use natural language processing to get better at analyzing customer responses to drive sales. AI-powered conversational commerce aims to further personalize the shopping experience. With access to a wealth of data, AI assistants can learn about a customer’s preferences, making it easier to find products that they will love.

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