In this blog, I'll explain how you can use AI-assisted web chat to generate more leads, increase sales, keep your customers hooked, and build excellent long-term relationships with them. Because in any online business, customer satisfaction is everything. You can achieve business success in any industry if you can keep your customers happy and satisfied. By implementing an ai chatbot for ecommerce, you can significantly increase lead generation, drive sales, foster customer loyalty, and build strong long-term relationships. And there's no better way to keep a customer happy and hooked than to provide the best customer support. It is crucial for retaining loyal customers and fostering long-term relationships. And the best way to bring your online stores or website visitors into your sales funnel is through Website Chatbot.

Problems with Online Businesses Customer Support

One of the biggest problems online businesses often have to face is helping their customers on time. Sometimes, customers have to wait a long time on the phone or for an email reply. They might not be able to get help outside of regular business hours because there aren't many ways to contact the company. Also, the quality of help can differ depending on who helps the customer. Finally, businesses might miss out on learning what customers think because they don't have many ways for customers to give feedback. So that is why a native web chat for your website is a must for better customer support.

What Is Webchat

Web chat is a real-time online chat tool that allows website visitors to interact with your customer service representatives or other team members through direct messaging from your website. It typically appears as an overlay on a website, enabling your visitors to easily start conversations and receive immediate reply or assistance. Webchat is a very important tool for both business owners and customers. 

Web Chat from Business Owners Perspective: When you use web chat to talk to your customers. It makes your customers happy because they get help quickly without any extra hassle. It also helps you sell more products by answering their questions and guiding them through your sales funnel. Plus, it saves you money because you can set up customized AI chatbots that can talk to many customers at the same time. Which reduces the need for more customer support reps. This tool also helps you learn how your customers act, so you can organize your store even better. By offering web chat, you show your customers that you care about them, which makes them like your brand more.

Web Chat from Customers Perspective: Imagine you can talk to a business right on their website. This is called web chat. It's super easy and saves time because you don't have to wait on hold or write long emails and then wait for the reply. You can talk to a customer support agent who can help you right away with any inquiry. Web chat also lets you have a conversation at your own pace. You can stop and think, look things up, and ask more questions whenever you want. It's also great for people who have trouble talking on the phone.

What Is AI Assistant

An AI Assistant is a powerful feature that uses artificial intelligence to make your Web Chat, WhatsApp, Facebook Messenger, Instagram DM and Telegrams chatbot more intelligent and helpful. By using the AI Assistant feature your chatbots can understand natural language, it can answer any user queries in a more human-like way, even for complex or questions that are out of bot templates. 

All you need to do is just train your AI Assistant properly. This improves customer experience with accurate and relevant answers. The AI Assistant can also personalize interactions, automate tasks like answering FAQs and scheduling appointments, and seamlessly integrate with your existing workflows. Overall, it frees up your team's time and makes your chatbot more scalable for businesses of all sizes.

How Does Web Chat with an AI Assistant Work?

It is very easy to use BotSailor's Web chat and AI Assistant feature. You just need to follow a few steps, make some setups here and there and you will be good to go. Here are the steps you need to follow:

Step 1: Creating a Chat Widget and Connecting it with your Website

When you want to use the webchat you need to create a chat widget and then BotSailor will provide you a link that you can paste in your website's footer section. You can customize your chat widget in various ways like customizing theme background, theme color, chat bubble background, brand logo, and chat box position. To learn more about how to create a web chat and connect it with your website read our this blog to learn in more details: How to Integrate a Website Chatbot Into Your WordPress Site

Or watch our YouTube tutorial: 

Step 2: Train AI Assistant with your Business Data

After you have created the webchat and connected it with your website, your customers can start a conversation with you about any questions they might have about some products or your service, depending on your business. When a customer sends a message through web chat, you can see the message from BotSailor's Live Chat. Then, you or your customer support agents can reply to the customer, which is a time-consuming task. This is where a customized chatbot comes in handy, and if you set up an AI Assistant with the chatbot, The chatbot becomes a super chatbot!

Limitations of Basic Chatbots:

A basic chatbot has many limitations. A basic chatbot can only provide support answers according to how you built the chatbot template. But when you integrate botSailors AI Assistant with it, it can handle any type of question of your customer. All you need to do is just train your AI Assistant with data about your company, business model, product details, pricing, and any other relevant data that is necessary to provide customer support.

Training the AI Assistant:

Basically, it means that you train the AI Assistant with the same information you would have used to train your customer support agent. BotSailor lets you train your AI Assistant with data in PDF, doc, or txt file formats, as well as FAQs about your business. Moreover, you can also train through direct website links. You can learn how to do all these from our dedicated blog for training AI assistants.

Read here: Train AI Assistant for Chatbot With FAQ, URL & File

Or watch our YouTube tutorial: 

Step 3: Analyzing Customer Conversations with Live Chat

Now that you have connected web chat with your website and also enabled AI Assistant with the chatbot You are all good to go. Now whenever your customers visit your website and need any assistance, they can just message on the web chat and your AI chatbot can take care of it. You can check out the full conversation from BotSailor's Live Chat. You can take control over any customer's conversation from the live chat and also assign another agent to take over the conversation. To learn in details about the Live Chat read this blog:

Live Chat: WhatsApp Shared Team Inbox for Support

The Benefits of AI Powered Webchat

Connecting an AI powered Web Chat can benefit you and your business in various ways. Here are some of the key points:

Customer satisfaction: Web Chat provides faster response times to customer queries, It provides 24/7 availability, meaning your customers will get assistance even when it's not working hours or your support reps are busy doing other important tasks. Which will lead to higher customer satisfaction. Because no one likes to wait. When customers visit your website and they have a question about a product or your service, if they get an instant response from you they feel more satisfied.

Convenience: AI powered web chat offers a convenient and accessible way to get help for your customers, without the need to wait on hold or schedule a call. They can just open the chat box and start a conversation and get an instant response. 

More efficiency: You can automate routine tasks of your customer support agents and provide instant answers to FAQs to free up human agents to focus on more complex issues thanks to web chat with AI Assistant. It will make your customer support team more efficient.

Reduced costs of customer support: By using AI powered web chat for customer support, you can reduce the cost of customer service operations. Before you might need 10-20 human agents for your customer support team. Now with AI Powered web chat you can cut that cost to half or even more. Because AI can take care of most of the customer queries by itself. 

Enhanced customer relationships: The Web Chat provides a valuable opportunity to build stronger relationships with customers by providing personalized and engaging interactions.

Self-Service: Chatbots empower customers to self-serve and resolve issues independently, increasing their autonomy. 

Multilingual Support: AI chatbots can provide support in multiple languages, you just need to train it properly. Making it easier for businesses to reach a global audience.

Data Collection: You can use AI Powered Chatbots to collect customers' data using various methods, including explicit data collection via forms and surveys integrated with your chatbot, open-ended questions, and interactive menus. Your bot can analyze conversation history, track user behavior, and perform sentiment analysis to give a proper response.

Real Life Use Case Examples of Webchat

Here are some of the big brands use case examples to help you understand how they are taking advantage of AI powered chatbots.

Sephora - Personalized Beauty Advice Chat Bot

Sephora uses web chat as part of their Beauty Chat service, which allows customers to get personalized beauty advice and product recommendations in real-time from experts. They also integrate AI-driven tools like the Sephora Virtual Artist, which uses augmented reality to let customers try on makeup virtually and receive personalized suggestions.

Business Impact: 50% of consumers expect companies to offer personalized experiences, and Sephora's chat service with AI features helps meet this expectation. It’s been shown that personalization increases customer satisfaction and conversion rates. Sephora has seen significant improvements in both engagement and sales, contributing to a 12% increase in sales growth and a higher-than-average customer retention rate.

H&M - Streamlining Customer Service Chatbot

H&M integrates web chat into their customer service web page to provide real-time assistance to online shoppers. Customers can ask questions about product availability, check on order status, or resolve other issues via live chat with a support agent. H&M also uses chatbots for more basic queries to ease the process for their customers.

Business Impact: H&M’s customer service team reports a reduction in customer service response times by 50% due to the use of live chat. According to Zendesk, customers who use live chat are three times more likely to make a purchase than those who don’t. As a result, H&M has seen higher conversion rates and a 10-15% boost in customer satisfaction.

Lego - Customer Engagement and Community Building Chatbot

Lego uses web chat to foster a deeper connection with customers by providing real-time support, facilitating customer feedback, and driving engagement on their eCommerce site. The chat service is embedded into their website, allowing customers to ask questions about products, receive building tips, and engage with the Lego community.

Business Impact: Lego’s commitment to real-time customer service has contributed to an increase in eCommerce sales by 25% according to Forrester Research. The company has leveraged web chat as part of a wider effort to enhance the customer journey, resulting in higher engagement, more product recommendations, and a 30% increase in repeat purchases.

Why Use BotSailor’s AI Assistant and Webchat

BotSailor’s AI Assistant is a very powerful AI feature that you can use to train your AI using FAQ, files and website link and connect the AI Assistant with the web chat. It  can significantly improve customer satisfaction, convenience, and efficiency for your business. It can reduce customer support costs, enhance customer relationships, and provide valuable data collection opportunities. By following the steps outlined in this blog and learning from real-life use cases, you can leverage AI-powered web chat to take your customer support to the next level.

So why wait longer. Sign up to BotSailor today! And enhance your customer support like never before!

👉 Sign Up!

FAQ

What are the Examples of artificial intelligence in customer service?

Chatbots: AI-powered chatbots like BotSailor's can handle a wide range of customer inquiries, from answering FAQs to providing personalized product recommendations.

Virtual Assistants: These AI-driven assistants can understand and respond to customer requests through voice or text, offering support across various channels.

Sentiment Analysis: AI algorithms can analyze customer interactions to understand their emotions and sentiment, allowing businesses to identify areas for improvement.

Predictive Analytics: AI can predict customer behavior and anticipate their needs, enabling proactive customer support.

Which is the Best customer support chatbot at a reasonable price?

While there are many chatbot providers in the market, BotSailor stands out for its combination of powerful AI features and multichannel chatbot integration. It offers a user-friendly interface, robust AI capabilities, and a flexible pricing model to suit various business needs. BotSailor’s premium package starts at only $8.99.

How do companies use generative AI for customer service?

Generative AI empowers chatbots to:

Generate human-like responses: Create more natural and engaging conversations with customers. 

Personalize interactions: Tailor responses to individual customer needs and preferences. 

Summarize conversations: Quickly understand the key points of customer interactions. 

Translate languages: Provide multilingual support for a global customer base.

How to use an assistant in web chat for customer support machine learning free?

While BotSailor's AI Assistant is a premium feature, you can leverage its machine learning capabilities with a free trial. This allows you to experience the power of AI-driven customer support firsthand and evaluate its benefits for your business. 

How does a free knowledge base chatbot work?

A free knowledge base chatbot typically relies on predefined rules and scripts to answer common customer questions. It may have limited AI capabilities and may not be able to handle complex or nuanced inquiries.

How to use an assistant in web chat for customer support real time free?

While a fully-featured AI assistant may require a subscription, BotSailor offers a free trial that allows you to experience real-time AI-powered customer support. This enables you to assess the impact of AI on your customer interactions without any upfront commitment. 

What are some best practices for Customer service chatbot with examples?

Clear and concise communication: Use simple language and avoid jargon.

Personalization: Tailor responses to individual customer needs and preferences.

24/7 availability: Ensure your chatbot is available around the clock to meet customer needs.

Seamless handoff to human agents: Provide a smooth transition for complex issues that require human intervention.

Regular monitoring and improvement: Continuously analyze chatbot performance and make necessary adjustments.

How Companies Use AI for Customer service?

Automating routine tasks: Handling FAQs, scheduling appointments, and providing basic product information.

Improving customer satisfaction: Providing 24/7 support, personalized interactions, and faster response times.

Reducing costs: Automating tasks and minimizing the need for human agents.

Gaining valuable insights: Analyzing customer data to understand their needs and preferences.

How to use an AI Assistant in web chat for customer support sentiment analysis interviews?

BotSailor's AI Assistant can analyze customer conversations to identify sentiment and emotions. This information can be used to:

Improve customer satisfaction: By identifying and addressing negative sentiment.

Personalize interactions: By tailoring responses based on customer emotions.

Train human agents: By providing insights into common customer pain points.