Auto Tagging Solutions

July 11 , 2021

As the demand and influence of e-commerce surge, the issues surrounding the scale ups are also emerging. One principal issue of e-commerce platforms with thousands of products on display, is the efforts into tagging individual images by hand. For images to be searchable, a fast and instant product search is of essence.

An efficient and atomized management system is of essence. With online sales booming by the day, it has become impossible to work on the tags by hand nor is it desirable. This is where an automatized tagging solution comes in to save the day. 

Meeting the user needs

For a platform with thousands of different brands and global users as its clientele, accurate categorization is of essence to secure consumer retention as it is directly related to answering to the consumer needs of efficiently selecting the desired product.

Especially when it comes to e-commerce, the regulations and rules for tagging is so vast, it is impossible to tag the same tags for the same images. In other words, since the tag keywords are not allocated or assigned to a certain category or product, it is difficult to keep the searches down to a minimum.

Auto tagging solutions such as Wide Eyes or Vue.ai come in handy for these purposes. Both solutions use various AI based technologies included raising efficiency and reducing manual tagging. They are designed to recognize objects from images and videos and can even analyze consumer behavior patterns by recognizing the product characteristics.

Furthermore, the intelligent computer vision process that can extract multidimensional attribute from products also aids customers by providing more relevant information to each buyer. With these tagging solutions in place, retailers can reduce time and effort made in SEO and categorization and increase efficiency in catalog management. Moreover, with visual technology at work, auto tagging allows the products indexting which in turns increases the probability of the products to pop up on the shoppers searches

Personalized Service Options

Automated fashion product tagging for customized shopping media content is at the heart for personalized shopping. Computer vision technology gathers information every time a product is clicked and ultimately recognizes certain attribute specific preferences. Combined with data-driven historical behavioral pattern, the personalization engine becomes much stronger and accurate. In a sense, the algorithm learns every time a user makes a decision and quickly uses that information to provide each user with a real-time customized fashion option.

According to Salesforce, 80% of consumers rank the shopping experience the equivalent to the actual products or services. As the topic of user experience gain more importance, it is essential to have a headless structure that separates the front end and the back end, to divide the way data travels and ultimately increase operation and system efficiency. This allows various connectivity experiences that customers may require. In this market for scale-up e- commerce, these automated solutions will prove to be a major asset.