Browse our comprehensive product guides and documentation
Summarize with AI
AI revolution isn’t skipping over anyone.
Every job, every person, every aspect of our lives are affected by the speed of AI development. Artificial intelligence is changing how the industries are operating, it brings totally new ways of dealing with manufacturing processes, writing requests, law obligations, and it gives a possibility to create even more content in the world (see, for example, generative AI integration services) where we’re already overwhelmed by all these informations.
While we’re listening debates if AI is actually good for us or is a threat to our lives, we have a choice: we can use it to save more of our time, to learn how to use our time better, to implement it in our business processes, and skip the tasks that were boring and/or difficult before the ChatGPT entered our lives. Or we can cry because it might can take our job one day.
We’re more into first option. We simply understand the importance of following the right trends, and the AI isn’t a trend anymore - it’s a necessity we need to learn about, and a possibility for us to develop more, learn more, and create better things. With the help of AI, marketing & branding promotion can be so much more improved just by implementing one simple, yet effective tool - AI QR Codes.
And today, we’ll learn why is crucial for you and your business to start generating AI QR Codes as soon as possible.
AI QR Code is actually a version of the traditional QR Code that incorporates artificial intelligence to provide additional functionalities and customisation. While usual (or let’s say traditional) QR Code simply stores information in a scannable matrix, an AI QR Code uses advanced machine learning and AI algorithms to:
But what are the actual differences between usual QR Codes, and AI QR Codes?
Key Differences Between AI QR Codes and Traditional QR Codes
The reason behind creating a single QR Code is usually the same: to get a new, innovative tool that you can use via various channels for wider promotion of your business, services, and products.
So, if you’re questioning which one to choose, read what actually separates those two types of QR Codes:
We already know what are the pros & cons of using QR Codes. 🚀
Now that we know the real (and the most important) differences between traditional and AI QR Codes, let’s find out what are the positive, and what are the negative sides of AI QR Codes.
Pros of AI QR Codes
Cons of AI QR Codes
When businesses started looking for more interactive and dynamic ways to engage customers, it was time for AI QR Codes to rise and shine 💫
AI QR Codes are especially good for businesses needing to update offers or content frequently without reprinting new QR Codes.
By the way, did you know that you generate multiple QR Codes in bulk? 😮
Also, AI QR Codes can help you to get more reviews, and you’ll do that by creating different AI-generated QR Codes designed based on the needs of your product and/or service. Here are some ideas where you can implement AI QR Codes:
And if you’re still negotiating with yourself if you should start using AI QR Codes, here are a few more reasons to actually do that. 👇
To get the proper comparison results, we need to cover several factors that can decide in favour of AI QR Codes or traditional QR Codes.
✅ The first one is functionality.
Typically, a static QR code directs users to a fixed URL, text, or simple action like sending an email or making a call. Once generated, the information encoded cannot be changed unless you create a new QR code.
AI-generated QR codes offer dynamic functionality, meaning they can adapt based on user behaviour or real-time data. These codes can lead to different content depending on factors like time of day, user location, or past interactions, making them more personalised and interactive.
Okay, now we know the differences in functioning. But that won’t be enough for some user that wants to get the best out of the QR Code usage.
✅ That’s why the personalisation of the QR Codes can become so important.
Traditional QR Codes have limited personalisation. Everyone who scans the same QR code gets the same result. On the other hand, AI QR codes can personalise content based on the user’s preferences, past purchases, or browsing history. For example, if a user scans a code at a retail store, they might receive recommendations that are closely connected to their shopping habits, something made possible when an experienced AI developer builds advanced recommendation logic into the system.
Now that we have an explanation of the QR Codes are working, and why is important to actually customise them, we need some feedback.
✅ The question is: how we’re actually using the QR Codes and is there any Return On Investment (ROI).
For the traditional QR Codes, basic data can be tracked, such as the number of scans, location, and time of the scan.
AI QR Code platforms offer advanced analytics powered by AI. These QR codes can provide different kind of informations, segment data by demographics, and adapt marketing strategies based on real-time user engagement.
✅ Let’s go to next question - can we actually modify the link which the QR Codes points to?
Once a (traditional) QR code is generated, it cannot be easily modified.
For example, if you want to change the landing page or URL, you need to create a new code.
AI QR codes are dynamic. You can update the content behind the code in real-time without needing to generate a new one. This makes it easier for businesses to update promotions, campaigns, or information without changing the QR code itself.
✅ Now that we covered all those reasons, there’s one more, a really important one - money. 💸
Traditional QR Codes are generally free or low-cost to generate and use.
On the other side, AI QR Codes are typically more expensive due to the advanced features and real-time analytics. However, the added value from personalisation and interactive features can justify the higher cost for many businesses.
Just as you can easily find platforms to generate Link In Bio or Email Signature, there are many platforms that can allow you to easily generate AI QR Codes - for free.
One of them, AI QR Code Toolkit is created by Tapni Team, and it allows you to:
By the way, did you know you can add the QR Code to your email signature? 📩
As a AI QR Code Toolkit user, you can also:
Even though pretty much new, AI QR Codes are quickly conquering the world we’re living in.
They are easy to create, simple to use, and they do require some investment in the beginning, but in the long term, they can be very valuable and practical for you and your business, mainly because:
If you can’t wait to create one, then don’t hesitate - we’re waiting for you on AI QR Code Toolkit platform. ⌛
Big & innovative brands have something in common - they’re able to see when something in industry is going to change, and they are able to adapt their entire business to it.
That happened with same brands when the AI QR Codes were still in early development stage. Now they’re leaders in marketing and presenting themselves by using the AI QR Codes.
L'Oréal, a famous multinational personal care company incorporated AI-driven QR codes in their marketing campaigns, using them inside taxis in collaboration with Glamour magazine. These codes redirected users to tutorials and product information, boosting app downloads and sales. 📈
Museums, like the Sukiennice Museum in Poland, implemented QR codes in conjunction with augmented reality (AR) to improve visitor engagement by linking to interactive, multimedia content about their exhibits.
Louis Vuitton, luxury fashion house experimented with AI-enhanced QR codes for virtual try-on features and immersive shopping experiences. Scanning these codes allowed customers to interact with AR elements, including seeing how products look in a real-world setting.
Also, Walmart, an American multinational retail corporation that operates a chain of hypermarkets have implemented AI QR codes for interactive shopping experiences, providing promotions, detailed product information, and even shopping recommendations based on past consumer behaviour.
