What is AI automated product tagging?
AI automated product tagging is a revolutionary method of product catalog management that utilizes advanced AI algorithms to organize and tag photos based on their attributes.
AI algorithms use deep learning and computer vision to automatically organize and tag photos based on their features, creating detailed and informative tags that can improve catalog management processes. Automated tagging is a qualified AI system that recognizes clothes in pictures as humans do. This method eliminates the need for human interaction, saving time and energy.
Thanks to computer vision and deep learning advances, scientists developed neural networks that replicate the human brain. The benefits of automated tagging are immense, including better catalog management, improved search results, and enhanced customer shopping experience. So, if you want to improve your retail processes and stay ahead of the competition, it's time to embrace AI-automated product tagging.
What are the advantages of leveraging AI product tagging?
AI product tagging brings several benefits to eCommerce businesses.
- Firstly, it provides better catalog management with detailed and rich tags that can improve search results and increase purchasing decisions.
- Secondly, it reduces the need for manual tagging, saving time and resources for other business operations. With automated tagging, catalog management becomes more efficient and effective.
- Thirdly, AI product tagging can identify characteristics linked to specific keywords and provide semantic knowledge in text, making it easier to identify clothing pieces and categorize them accordingly. The detailed and rich tags associated with each item help improve the customer search process, leading to more successful purchases and increased customer satisfaction.
- Finally, AI tagging systems can learn and adapt to trends and customer preferences, improving product recommendations and increasing customer engagement, helping businesses understand customer behavior, style, and preferences at individual, customer-segment, and regional levels, leading to a more sustainable business strategy. Automated tagging can help businesses make better decisions about design, buying, merchandising, and pricing, resulting in lower costs, less waste, more average order value, and higher conversion rates.
How does AI help to increase product discoverability?
AI product tagging is essential for any eCommerce business looking to increase product discoverability.
With the help of deep product tagging, enhanced text search, and recommendations, businesses can provide customers with a seamless shopping experience. This suite of tools provided by AfterShip Personalization's Product Discovery Suite helps businesses to tag their products with relevant keywords, making them more visible in search results.
The enhanced text search feature ensures that customers can easily find the products they seek, while recommendations provide personalized suggestions based on customer behavior. By utilizing AI product tagging, businesses can increase their product discoverability, increasing sales and customer satisfaction.
What attributes does AI capture?
AI product tagging captures multiple attribute labels for each product on a catalog. Using several neural networks trained on continuously updated datasets, AI image tagging computes a single high-level category, such as gender, color, tops, shoes, outerwear, and a single, more detailed category for each garment.
Additionally, AI product tagging predicts which attributes apply to each particular item. This attribute model may predict as many or as few attributes from the taxonomy as it deems relevant. The quality of the attribute prediction can be judged by two metrics: precision and recall.
How does AI product tagging power the apparel business?
AI-powered product tagging is revolutionizing the apparel business by improving efficiency and accuracy in product data entry.
With AI technology, fashion brands can easily tag and categorize their products, making it easier for customers to search and find exactly what they want. Especially in the apparel category, manual product tagging can be time-consuming and prone to errors, but AI-driven product tagging ensures that each item is accurately labeled and categorized.
This saves time and resources for apparel brands and improves the overall shopping experience for customers. The power of AI product tagging is truly changing the game in the apparel business.
Brands are using AI-automated product tagging
Many brands are now utilizing AI product tagging to streamline their catalog and improve the shopping experience for their customers.
One notable example is ASOS, a popular online fashion retailer. They implemented an AI system that tags over 100 attributes for each product, including color, pattern, and style. This allows for easier search and filtering for customers and more targeted recommendations and promotions.
Other brands like Nike and Nordstrom have also implemented AI product tagging to improve their online shopping experience. We expect more brands to adopt this efficient and effective solution as AI technology advances.
Why should Shopify merchants use AI product tagging?
Shopify merchants should use AI product tagging to enhance their online store's search functionality, product ranking, and product recommendations for customers. With attribute metadata, merchants can streamline their inventory management process and provide faster, non-biased, and scalable search results.
By layering multiple values and using a multi-tiered product tagging structure, merchants can provide customers with a personalized shopping experience, increasing customer engagement and average order value. Additionally, Shopify merchants can use predictive analytics to inform future business decisions and create a more sustainable business strategy.
By utilizing AI product tagging, brands can capture key product attributes that customers value, such as fit, silhouette, and occasion/thematic tags. This improves the customer experience and informs future business decisions at design, buying-merchandising, and pricing levels with a lowered risk of bias. AI product tagging can drastically reform a fashion business and improve the customer experience.
AI product tagging can also lift average order value and drive more conversions. By utilizing deep tagging, businesses can provide personalized recommendations to customers online and in-store and create targeted re-marketing campaigns. Moreover, predictive analytics powered by machine learning can help businesses understand customer behavior and preferences, allowing them to inform future business decisions.
With a multi-tiered product tagging structure and mutually exclusive and non-mutually exclusive product fashion tags, businesses can better control their entire stock and make it easier for customers to find what they want. While retailers love to implement upsell & cross-sell on their websites using tools such as AfterShip Personalization, AI product tagging also gives better insights that allow merchants to recommend more accurately.
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