Enhance Your Shopify Store with a Free AI Chatbot from Embed

Leverage Embed’s AI for Superior Customer Support on Shopify

Boost your Shopify store’s customer support and engagement with Embed’s AI chatbot, powered by the innovative llama-2 model. This integration offers an efficient and cost-effective solution to provide 24/7 customer service, ensuring your e-commerce platform stands out in a competitive market.

Benefits of Integrating an AI Chatbot with Your Shopify Store

Incorporating a chatbot into your Shopify store offers numerous benefits:

• Instantaneous Support and Engagement: Deliver immediate customer support, enhancing the shopping experience.
• 24/7 Availability: Your store remains responsive at all times, improving customer satisfaction and loyalty.
• Increased Sales: Engage customers with quick responses, reducing potential sales losses due to delayed support.

How to Add an AI Chatbot to Your Shopify Store

Integrate the Embed Chatbot for free using these steps:

1. Set Up Your Embed Account: Customize your chatbot to your store’s needs at Embed’s chatbot settings page. Configure your chatbot’s system prompt and model, then copy the iframe code and save.

2. Copy the Iframe Code: Secure the chatbot embed code.

3. Navigate to Shopify Dashboard: Log in and go to ‘Online Store’ under ‘Sales channels’.

4. Customize Theme: Select ‘Edit code’ from the theme menu.

5. Access theme.liquid File: Find this file in the code editor.

6. Embed Chatbot Code: Insert the iframe code into the theme.liquid file within the body section, replacing <YOUR_CHATBOT_IFRAME> with your iframe link.

   <!-- Customer Service Chatbot iframe -->
   <iframe id="customer-service-bot"
           src=<YOUR_CHATBOT_IFRAME>
           style="position: fixed; bottom: 20px; right: 20px; width: 380px; height: 300px; border: none; border-radius: 10px; background-color: rgba(128, 128, 128, 0.5); box-shadow: 0 4px 8px rgba(0, 0, 0, 0.1); transition: bottom 0.5s, opacity 0.5s; z-index: 1000;"
           sandbox="allow-scripts allow-same-origin allow-forms">
   </iframe>
   
   <!-- "Hide" button for the chatbot -->
   <button id="hide-bot-button"
           style="position: fixed; bottom: 290px; right: 20px; z-index: 1001; padding: 8px 16px; color: white; border: none; border-radius: 5px; cursor: pointer; box-shadow: 0 2px 6px rgba(0, 0, 0, 0.2);">
     ❌
   </button>
   
   <script>
     // Get the customer service chatbot iframe
     var botIframe = document.getElementById('customer-service-bot');
     // Get the "Hide" button
     var hideButton = document.getElementById('hide-bot-button');
   
     // Listen for the page load event
     window.addEventListener('load', function() {
       // Make the iframe visible by changing its opacity
       botIframe.style.opacity = '1';
     });
   
     // Attach a click event listener to the "Hide" button
     hideButton.addEventListener('click', function() {
       // Hide the iframe
       botIframe.style.bottom = '-330px';
       // Hide the "Hide" button itself
       hideButton.style.display = 'none';
     });
   </script>
   

7. Save Changes: Apply your edits to integrate the chatbot into your store.

Optimizing Your Shopify Chatbot for Maximum Impact

Ensure your chatbot’s success by:

• Brand-aligned Customization: Adapt the chatbot’s tone to fit your brand identity.
• Frequent Updates: Keep your chatbot informed with the latest products and FAQs.
• Customer Interaction Analysis: Analyze customer questions to continually refine your chatbot’s knowledge base.

Advanced Features for a Smarter Chatbot: Training with Shopify Product Data

Exporting Product Data

From the Shopify admin page, go to products and select export to download your product data in a Plain CSV file format.

Training Your Chatbot with Product Data in Embed

Within Embed, select the Shopify training option, upload your CSV file, and wait for the training to complete successfully.

Testing the Enhanced Chatbot

Test your chatbot’s knowledge by asking it to recommend products, verifying its ability to utilize the trained product data.

Conclusion

For additional support, reach out to [email protected].