Customer preferences have substantially changed over time, especially during and after the pandemic. Customers now want a wider range of products and use multiple channels to find their favorite clothes or products, such as voice or visual searches.
To meet the ever-increasing needs, online retailers are releasing new products regularly and using innovative solutions such as AI catalog tagging to boost productivity. Using AI catalog tagging, companies can automate product tagging and make it quicker and more accurate. The best part is that this helps make the product and the website more discoverable, which translates into more conversion and, thus, revenue.
In this blog, we’ll dive deeper into AI catalog tagging, the technology behind it, the benefits it brings, and how it boosts the SEO game for retailers.
Traditional product tagging involves manual elements. Either the e-commerce manager or employees spend weeks or even months manually tagging products to images in the catalog. This process not only takes a lot of time but is prone to errors.
Moreover, this leads to poor catalog management, causing multiple problems, including:
However, businesses can deal with this through AI automation. Using AI algorithms, companies can automatically tag all their products based on different attributes. This way, businesses can reduce the error margin, save time, and enhance the shopping experience for their customers.
Complex AI and machine learning algorithms and techniques are behind making automated catalog tagging possible:
Continuous Learning and Improvement: AI-based catalog tagging systems learn and improve continuously by adapting to new trends, customer preferences, and styles. This way, with time, systems become more accurate.
Here’s how automated catalog tagging benefits businesses:
Sometimes due to human error, products are incorrectly tagged using the wrong keywords. Because of this, when shoppers search for products, the expected products don’t show up leading to a loss of potential revenue.
On the other hand, by using AI catalog tagging, businesses can ensure products are accurately tagged and the right keywords are used. This way, when shoppers search for products, Google will know which website to push to the top, improving the SEO ranking. And when websites rank higher, the chances of making sales also increase.
Additionally, when shoppers can easily find the product they want to buy, their overall shopping experience will improve. And this will further help improve sales.
Here are some actionable steps businesses can follow for effective AI catalog tagging:
Following the above steps is a cumbersome process. Moreover, businesses might need dedicated experts to craft an AI-based tagging solution, which is costly and time-consuming. But here’s a better idea: find a reliable AI catalog tagging solution.
Businesses can start tagging their products instantly by integrating an AI catalog tagging solution such as ViSenze. ViSenze allows you to enhance and enrich your product listing with hundreds of attributes, improving discoverability and making your catalog more shoppable.
Moreover, as AI works in the backend, you can drastically reduce operational costs, reduce human error and populate your catalog seamlessly.
AI-tagged catalogs can enhance both visual and voice search results. Here’s how:
As technology advances further, applications of AI in general and AI catalog tagging in specific will only increase. It’s believed in the years to come, AI technology will become more accessible, enabling small businesses to leverage it to boost productivity and SEO.
Moreover, NLP and machine learning capabilities are expected to advance further. This will make AI systems even more efficient in interpreting human language and enhancing their tagging capabilities.
There are multiple examples of companies using AI catalog tagging or AI in general.
Take VVIC for example. VVIC is a leading B2B platform in China that connects fashion wholesalers, retailers, and suppliers. However, VVIC was facing issues related to user experience, such as suppliers posting low-quality images with watermarks lacking crucial information.
VVIC then opted for ViSenze’s automated catalog tagging solution to detect poor-quality images after evaluating image search technology and computer vision. Thanks to the precise solution that helped VVIC achieve a massive 97% accuracy in image quality control.
AI catalog tagging can revolutionize the way businesses manage their products. Using AI catalog tagging solutions, businesses can become more accurate, save time, and, most importantly, improve their SEO rankings, leading to user engagement and, thus, more revenue. If you’re a business that relies on traditional catalog tagging, it’s time to find a reliable AI tagging solution and step up the SEO game. Get in touch with us to learn more about how AI-powered Visual Search can boost engagement and conversion rates!