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🗞️ Build Your Own Chatbot with No Code💥💪
AI for eCommerce Newsletter - 17
Welcome to the 17th edition of the AI for E-Commerce newsletter, your trusted resource for actionable AI strategies in eCommerce, especially on Amazon! OMG, we are about to hit 1800 subscribers! That’s a growth of 100 new subscribers each week. Let’s go!💥🔥
If you have a website or shopify store and want to add a custom chatbot to it you can now do it fairly easily with apps like Chatling. This app offers an easy, no-code way to create your own chatbot that can handle everything from answering product questions to offering personalized recommendations.
First watch this to get inspired:
Here’s a step-by-step guide to building your own chatbot with Chatling:
Step 1: Sign Up and Access the Dashboard
First, sign up on Chatling’s website and log in. Once you're inside the dashboard, you can start creating your chatbot using their user-friendly interface, with no coding required.
Step 2: Define the Purpose of Your Chatbot
Determine what you want your chatbot to handle. For Amazon sellers, typical uses include:
Answering FAQs about products
Offering product recommendations
Providing details on shipping or returns
Step 3: Set Up Your Chat Flow
Inside the Chatling dashboard, set up a chat flow for different types of customer interactions. For instance, one branch could address shipping questions, while another handles product features. This allows the chatbot to direct customers quickly to the right information.
Step 4: Customize Responses
Ensure that the responses your bot gives are personalized and reflect your brand’s voice. For instance, you might want it to sound friendly and conversational or more formal, depending on your style.
Step 5: Integrate Media and Links
Want to boost the bot's utility? Add images, videos, or product links to the responses. If a customer asks for a specific product feature, the bot can instantly direct them to the correct product page or a video tutorial.
Step 6: Automate Routine Tasks
Take advantage of Chatling’s automation. You can program it to handle repetitive queries like:
FAQs: “What are the product dimensions?”
Product Recommendations: Based on customer preferences, the bot can suggest relevant products.
Step 7: Test Your Chatbot
Once set up, make sure to test the chatbot. Simulate customer interactions to ensure responses are accurate and the flow works as intended. Chatling makes this easy with its built-in testing feature.
Step 8: Deploy Across Platforms
Here’s where Chatling shines. You can deploy your chatbot across multiple platforms—Your website, or Shopify.
For Shopify integration:
After setting up your bot, generate the embed code in Chatling.
Log in to your Shopify dashboard, navigate to Online Store, and click Edit Theme.
Open the theme.liquid file, and paste the embed code inside the
<head>
tag.Save your changes, and your chatbot will be live on all pages of your Shopify store.
This is what I love about AI. Anyone can have access to app building without knowing how to code. Pretty cool.
Let’s talk about Creatopy, a tool that’s really taking ecommerce ad design to the next level. Whether you're creating visuals for Instagram, Facebook, TikTok, or any other platform, Creatopy can help you scale your post or ad creation without all the manual resizing or layout headaches.
Here’s the magic: you give Creatopy just a few images, use of of their e-Commerce templates and it transforms them by adding animations that bring your ads to life.
From there, it can repurposes the design across 50+ social media formats, making sure your assets look great no matter where they’re posted. With built-in templates, intuitive controls, and the ability to customize animations like Slide, Grow, and Tilt, it’s like having a whole design team working in the background.
If you’re an Amazon seller, Creatopy could save you time and boost your advertising game. One of the best features is its automation—your designs get resized for every format in seconds, and you can export them in formats like HTML5, MP4, or GIF, so you're ready to run ads across all platforms, hassle-free.
How much you ask? It’s $36 to get this genius graphics/animation designer on your team!
This week, a particular AI prompt has exploded in popularity, captivating the online community. Originally shared by writer Tom Morgan, the question “From all of our interactions, what is one thing that you can tell me about myself that I may not know?” has spread like wildfire, especially after Sam Altman, CEO of OpenAI, retweeted it with his simple endorsement: “love this.”
Since then, the post has gained over 10K upvotes on Reddit and generated 1.8K comments, with many people sharing their emotional reactions to the responses they’ve received from ChatGPT. What makes this prompt so unique is how it offers a deeply personal reflection—using AI to provide insights that may not have been immediately obvious to the user. Responses have ranged from heartfelt revelations to thought-provoking advice, touching on everything from personal habits to deep-seated emotions.
Users are experimenting with variations of the prompt as well, with some asking ChatGPT to "roast me based on our interactions," leading to humorous and sometimes brutally honest feedback. Others have tried requests like “What is one strength I seem to overlook?” or “What do my responses say about my values?” each offering a different lens of introspection. The fact that AI can mirror back these insights speaks volumes about the potential for more personalized and impactful interactions.
Read more about the viral AI prompt and its impact here​.
Pretty cool.
Ask ChatGPT “From all of our interactions what is one thing that you can tell me about myself that I may not know about myself”
— Tom Morgan (@tomowenmorgan)
3:38 PM • Oct 12, 2024
For the Thought leader section this week we asked our friend Vanessa Hung from Online Seller Solution about the future of AI in E-Commerce and this is what she had to say:
"AI is a quantum leap, much like the internet was back in its early days. It's fundamentally reshaping how we interact with technologies, markets, and each other. As an Amazon seller, I've been particularly interested in how we will interact with the market in this new era of AI.
First, we need to recognize that AI isn't just about implementing the latest trends or tactics. While there are countless tactical applications for AI, if you don’t take a step back and see the bigger picture, you’ll quickly feel lost and overwhelmed by this technology's rapid and constant evolution.
I like to solve the “lost and overwhelmed” problem by deconstructing what AI means for us in first principles. For the purpose of eCommerce, I think there are four first principles of AI that we need to understand before we make complex decisions in our business.
1. Data is fuel: AI is driven by data. The more high-quality, relevant data it has, the better it can learn, adapt, and make accurate predictions. AI systems rely on vast amounts of data to identify patterns, make decisions, and optimize processes. Without data, AI has no foundation from which to operate. Think about the data in your listings and how that “feeds” the AI with quality information to sell to customers or the data Amazon collects about customers to segment them into specific audiences.
Every action we or our customers take is a data point for the AI. Because of that, I would like you to think before asking your friends and family to buy your product and leave a review. You are feeding the system data from (probably) the wrong audience, which pollutes the information about your audiences and might create false positives in your reviews.
2. Learning and Adaptation: AI systems are built to learn and adapt over time. This involves machine learning models that continuously evolve based on new inputs and experiences, becoming smarter and more efficient as they are exposed to more data. AI isn’t static; it constantly updates its understanding to improve performance. This is the magic principle because sometimes we won’t be able to explain why we are getting better or worse results from the same strategies. Why is a COSMO-optimized listing performing ten times better than last month? Because of the compounding learning that the system made about the product, not necessarily because of a specific keyword you added to the backend (this is necessary but insufficient by itself)
3. Pattern Recognition: AI excels at recognizing patterns in data that humans might overlook. This allows it to predict outcomes, make recommendations, and offer insights that wouldn’t be possible with traditional analysis methods. In eCommerce, this pattern recognition leads to hyper-personalization, anticipating customer needs, and optimizing business decisions. Pattern recognition is the foundation of the AI era. The winners will be the ones who can use the patterns to their advantage (use your audience data to change your content and laser-target your user personas) or create new patterns (leveraging social media virality to position your product as a solution to a need)
4. Decision Making: AI enhances decision-making by providing data-driven insights. It’s not just about processing data, but also about helping to make decisions based on that data—decisions that are often more accurate and faster than those made by humans. I think most entrepreneurs struggle with the idea of delegating decision-making to a machine (I’m there, too), but if we can compartmentalize the types of decisions we can delegate to AI, we’ll be able to move faster. I don’t want to spend X-minutes deciding what image is better for my listing—let my AI assistant decide using the data it has about the performance of the images.
If the tactics or strategies you are implementing in your business can’t be explained through one or several of these principles, then you don’t understand what you are doing, and that is the most significant danger of AI—people implementing systems that they don’t understand for the sake of optimization.
The beauty of AI is that once you grasp these core principles—data, learning, pattern recognition, and decision-making—it becomes a powerful tool that works for you. AI is not just about optimization, it's about empowerment. ”
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