How to Automatically Redirect Your Customers to the Nearest Amazon or Apple Books Stores.

As an author or publisher, you want your readers to have an easy time purchasing your ebook. Amazon and Apple Books are two popular online platforms for purchasing ebooks. However, customers from different locations may have preferences for one store over the other. Instead of listing links to every existing Amazon or Apple store, a redirect service can automatically direct your customers to the nearest store based on their geographical location. In this article, we’ll discuss how to create a redirect service that automatically redirects your customers to the nearest Amazon and Apple Books stores using Microsoft Azure Function and Geolocation API.

Step 1: Get the Geolocation API token.

To redirect the customer to the nearest online store, we need to map the customer’s IP to their geographical location. This can be done by using geolocation APIs such as FindIP.net. At the time of this writing, FindIP.net API is unlimited and free to everyone (just need to sign up). Just keep in mind there are many more APIs, but some are not free and some have limits on how many requests you can make per day or month. Also, if you choose to use a different API, you will need to adjust the code in step 2.

  1. Navigate to findip.net and click on the Sign Up button.
  2. Fill out the form and click Sign Up at the bottom of the page.
    • Password must be exactly 8 characters long.
  3. Once you logged in, you should see the API Details section. It should look similar to the image below.
    • Take note of the API key.
FindIP.net API Details

Step 2: Create an Azure function to execute redirect.

Next, we will create an Azure Function to process customer requests when they click on a “Buy” button and redirect them to the corresponding online store.

  1. If you don’t yet have an Azure account, you can create one for free here.
  2. Open the Azure Portal and create a new Azure Function.
    • Click on the “burger” icon in the top left corner to bring up the menu.
    • Select the “Create a resource” option.
    • In the “Search services and marketplace” box type: azure function
    • On the results page click on the “Function App” tile.
    • Then click the “Create” button.
    • Select a subscription that was created when you signed up for your account.
    • Create a new “Resource Group” by clicking on the Create new” link.
      • Enter the Name (e.g. ecommerce) and click Ok.
    • Provide “Function App name” (e.g storeredirect)
    • Set “Runtime stack” to Node.js
    • Select your Region (e.g East US)
    • You can leave all other settings as default. The screen should look similar to the image below.
    • Click the “Review + create” button.
    • Azure will validate the configuration for a few seconds.
    • Next, click on the “Create” button.
    • Wait while Azure completes the Deployment.
    • Once completed, you can navigate to the resource by clicking the “Go to resource” button.
    • On the resource page, in the left menu, click on the “Functions” item under the Functions category.
    • On the Functions page, click on the “Create” button to add a new function.
    • On Create Function screen, select “Develop in portal” as a Development environment.
    • Select “HTTP trigger” from the list of templates.
    • Provide a New Function name, e.g. RedirectBasedOnIP
    • And select the Authorization level
      • For simplicity, select Anonymous, though keep in mind that in this case, the function will be accessible to anyone who has the link. If you want to limit access to this function, you should set a more secure level, but you might also need to adjust the code provided below.
    • Click Create.
    • Once the function is created, you should see the RedirectBasedOnIP (or whatever you named it) page.
    • In the menu on the left, click on the “Code + Test” option under the Developer category.
    • Make sure index.js is selected and copy-paste the code from the GitHub repo into the editor window.
    • Replace the token value (on line 29) with the API key you got in Step 1.
    • The code editor should look similar to the image below.
    • In the command menu at the top of the code editor, click on the “Save” link.
    • Next, in the same menu, click on the “Get function URL” link.
    • On the “Get function URL” pop-up click on the “copy to buffer” button to copy the URL to the clipboard.
  3. Paste and save the URL in Notepad or some other text editor. You will need it in the next step.

Step 3: Prepare links

Next, we need to prepare links to the stores where our book is listed for sale.

I’m going to use the following links for an ebook I have listed both on Amazon Kindle and Apple Books.

Amazon Kindle: https://kdp.amazon.com/amazon-dp-action/US/dualbookshelf.marketplacelink/B0BY7D8G1Q

Apple Books: https://books.apple.com/US/book/newton-in-imagination-city/id6446348158

Notice that both links include the US parameter, but depending on your location it can be different (e.g. DE, CA, FR, UK, etc). This is the country code we are going to replace based on the customer’s IP address. If the link to your store doesn’t include the country code parameter, this solution will not work. Let’s modify the URL so the country code is replaced by a placeholder {_}:

Amazon Kindle: https://kdp.amazon.com/amazon-dp-action/{_}/dualbookshelf.marketplacelink/B0BY7D8G1Q

Apple Books: https://books.apple.com/{_}/book/newton-in-imagination-city/id6446348158

Note the placeholder {_} in the updated links. Now let’s encode the above URLs so we can use them when calling the redirect service.

  1. Navigate to urlencoder.org and paste the above links into the Encode box one by one
  2. Click Encode
  3. You should get results similar to these:
    • https%3A%2F%2Fkdp.amazon.com%2Famazon-dp-action%2F%7B_%7D%2Fdualbookshelf.marketplacelink%2FB0BY7D8G1Q
    • https%3A%2F%2Fbooks.apple.com%2F%7B_%7D%2Fbook%2Fnewton-in-imagination-city%2Fid6446348158
  4. As you can see all spaces and special characters were encoded. This step is required to prevent the redirect service from incorrectly processing the link.
  5. Copy and save the encoded links in Notepad or some other text editor.

Now we need to pass the encoded link to the redirect function we created in Step 2.

Recall the link from Step 2 (function URL). It should look similar to this: https://yourfunctionsname.azurewebsites.net/api/function

Let’s include the encoded store link in the function URL by appending: ?template={encodedLinkToStore} at the end of the URL:

https://yourfunctionsname.azurewebsites.net/api/function?template=https%3A%2F%2Fkdp.amazon.com%2Famazon-dp-action%2F%7B_%7D%2Fdualbookshelf.marketplacelink%2FB0BY7D8G1Q

https://yourfunctionsname.azurewebsites.net/api/function?template=https%3A%2F%2Fbooks.apple.com%2F%7B_%7D%2Fbook%2Fnewton-in-imagination-city%2Fid6446348158

Copy and save updated function URLs in Notepad or some other text editor. You will need it in the next step.

Step 4: Configure the social media landing page

Social media links and landing pages have become increasingly popular for linking customers to relevant online resources. Next, we are going to create a link page and add Buy buttons to direct customers to the store where they can buy our ebook.

  1. Navigate to Buffer.com and create a new account.
  2. On the welcome screen, select the “Build your Start Page” option.
  3. Select a template most suitable to you.
  4. Provide a name for your page.
  5. Next, you can modify the template by adding or removing various blocks (button links, image links, text, YouTube Video, etc).
  6. Delete (or update) the blocks you don’t want to see on your page.
  7. Now let’s add two “Buy” buttons to the page.
    • Click on the “Add Block” button in the right-side menu.
    • Select “Button Link” under the Essentials category.
    • Provide a button Label, e.g. “Buy from Amazon
    • Enter the corresponding Link from Step 3, e.g. https://yourfunctionsname.azurewebsites.net/api/function?template=https%3A%2F%2Fkdp.amazon.com%2Famazon-dp-action%2F%7B_%7D%2Fdualbookshelf.marketplacelink%2FB0BY7D8G1Q
    • Repeat the steps to add 2nd button for the Apple Books store.
    • You should have a landing page similar to the image below:
    • Buffer Start Page
  8. Once you are happy with the look of your landing page, click on Publish Changes button.
  9. Enter Your Business Name (e.g. picture-books) and click “Publish Start Page
  10. Congratulations! Your Start Page is live!
  11. Next, you can “Copy Link” and use it on your social media profile.
  12. https://picture-books.start.page

When potential customers click on your Start Page link, they will see your page and can easily navigate to the nearest online store where they can purchase your ebook.

If you encounter any issues or have a more complex scenario, feel free to reach out. I’d be happy to help!

Leveraging AI for Business

Artificial Intelligence (AI) is a branch of computer science that deals with the development of intelligent machines that can perform tasks that typically require human intelligence, such as visual perception, speech recognition, decision-making, and language translation. AI has come a long way since its inception in the 1950s, evolving from simple tasks such as playing chess and solving mathematical problems to becoming a powerful tool that has the potential to transform the business world.

Businesses today face a constant challenge to remain competitive in an ever-changing market. By adopting AI, companies can streamline their processes and gain a significant edge over their competitors. For example, AI-powered chatbots can handle customer service queries, freeing up human agents to focus on more complex tasks. AI algorithms can also analyze data to identify patterns and make predictions, allowing businesses to make data-driven decisions in real time.

AI helping business people

Machine learning, a type of Artificial Intelligence, has become increasingly popular in recent years. It uses algorithms to analyze large amounts of data and make predictions based on patterns found in that data. By leveraging the power of machine learning (or AI), businesses can gain valuable insights and make data-driven decisions that can improve efficiency and drive success.

For example, AI is playing an increasingly important role in supply chain management, helping to optimize logistics and transportation. AI algorithms can continually analyze shipping routes and suggest the most efficient one in terms of fuel consumption and transportation costs. This can prove to be immensely beneficial as it can help reduce waste and improve efficiency.

In education, machine learning can be used to personalize learning and help teachers create customized lesson plans for each student based on their individual needs and learning styles. AI can also be used to grade assignments, freeing up teachers’ time for other tasks. It could be used to analyze student performance data and predict future academic performance, enabling teachers to provide early interventions for students who may be at risk of falling behind.

In the nonprofit sector, machine learning can be used to analyze data to better understand the needs of communities, identify areas for improvement, and optimize resources for maximum impact. For example, it can be used to analyze data on donations, volunteer hours, and community outreach to help organizations make data-driven decisions and allocate resources more efficiently. Another example of using machine learning in the nonprofit sector is the use of algorithms to predict the likelihood of a donor making a repeat donation, enabling organizations to target their outreach efforts more effectively.

Generative AI, also known as generative adversarial networks (GANs), is another type of AI that has gained popularity in recent years. This type of AI can generate new data based on patterns in existing data. For example, a generative AI model trained on images of clothing could generate new, never-before-seen designs of clothing. This technology has applications in industries such as fashion and design, where it can be used to generate new ideas and designs. Moreover, in education, GANs can be used to create new learning materials and teaching tools (such as games, or individualized study plans), and for the nonprofit sector, GANs can be useful for generating marketing materials, making the creation process faster and easier.

In conclusion, AI has the potential to revolutionize the business world. By streamlining processes, increasing efficiency, and providing valuable insights, AI is changing the way we do business. The future of AI looks bright, and businesses that adopt AI will have a significant advantage over their competitors. If you’re ready to take your business to the next level, now is the time to invest in AI. Contact me today to learn how I can help you harness the power of AI to achieve your business goals.

AI: The Apprentice That Will Never Be a Master

Artificial intelligence (AI) has come a long way in recent years, with many experts predicting that it will soon surpass human intelligence in a number of areas. But despite all the hype, there is one thing that AI will never be: a master.

It is important to remember that Artificial Intelligence is just a tool, and it is up to humans to decide how to use it

One of the main reasons why Artificial Intelligence will always be an apprentice is because it lacks the ability to think and act independently. Unlike humans, who have the ability to make their own decisions and adapt to new situations, AI is essentially a slave to the instructions it is given. It is not capable of independent thought or decision-making and is therefore not capable of leading or guiding others.

Another important reason why AI will never be a master is that it lacks the ability to feel emotions or has subjective experiences. Unlike humans, who have the capacity to feel a wide range of emotions, AI is not capable of feeling anything at all. It does not have the ability to experience love, joy, sadness, or any other human emotion, which means that it cannot truly understand the needs and desires of other beings.

This lack of emotional intelligence is a significant disadvantage for AI, as it prevents it from being able to empathize with others or to respond to their emotional needs. It also means that AI is not capable of understanding the complexities of human relationships or social interactions. In short, AI’s lack of emotional intelligence makes it ill-equipped to be a master, as it cannot truly understand or relate to the people it is supposed to be leading.

Additionally, AI is not capable of self-improvement or self-awareness. Unlike humans, who have the ability to learn from their mistakes and to reflect on their own actions, AI is unable to change or improve itself. It does not have the ability to self-reflect or self-evaluate, which are crucial skills for mastery. In order to truly master a subject or skill, one must be able to look back on one’s own performance, identify areas for improvement, and make the necessary changes to become better. Without the ability to self-reflect and self-evaluate, AI is not capable of achieving mastery.

“AI trying to be a human.” As pictured by Stable Diffusion AI

Though, there is a possibility that AI could eventually become a master in the future. As AI technology continues to evolve and improve, it is possible that it could gain the ability to think and act independently, feel emotions and have subjective experiences, and to self-reflect and self-evaluate. If AI were to gain these abilities, it could potentially become a master in its own right.

However, it is important to note that this scenario is purely hypothetical, and it is not clear if or when it might happen. At present, AI lacks the ability to think, feel, and self-improve, and it is not clear if these abilities can be developed through technology alone. Additionally, even if AI were to gain these abilities, it would still face many challenges and limitations. For example, AI would not have the same experiences and cultural knowledge as humans, which could limit its ability to understand and relate to people.

While it is possible that Artificial Intelligence could become a master in the future, it is not a certainty. For now, AI will remain an apprentice, serving at the whims of its human masters. And that’s just the way it should be. While AI may be able to perform many tasks faster and more accurately than humans, it will never be able to truly understand the complexities of the human experience. It will never be able to feel emotions, reflect on its own actions, or make independent decisions. It will always be an apprentice, following the instructions of its human masters.

Artificial Intelligence has the potential to revolutionize many industries and improve our lives in countless ways. But it is important to remember that AI is just a tool, and it is up to humans to decide how to use it. As long as we remember that AI is an apprentice and not a master, we can use it to our advantage without losing sight of our own humanity.