The big picture
eCommerce success for brands revolves around how effective they are in bringing the offline shopping experience to online shoppers. A big part of delivering this online experience lies in the nature and quality of product data on-site. The better the shopper can discover, understand, and choose products that match their intent and preferences, the greater the chances of earning customer loyalty and improving retention.
Diesel started using Vue.ai’s AI-powered automated product tagging solution in 2020 to streamline onboarding and tagging their products and save time in the process.
Summary: A.I. Powered
Automated tagging for faster product onboarding
Automated product tagging helped Diesel tag products at a fraction of the time it took to tag products manually. Instant tagging was implemented for Diesel with the aim of being able to get their products to market faster.
Vue.ai’s automated product tagging solution, VueTag, ensures that products are tagged as soon as the images are made available, rather than waiting for a significant portion of the available images.
Review and feedback on tags also happens through the tool, reducing the go-to-market time significantly.
AI-powered tagging for rich data and a scalable process
Tags extracted by the tool primarily helped Diesel enrich their catalog data. Some of the downstream benefits included powering filters on the website to assist user journeys, enrichment of catalogs from other vendors, and using the extracted tags for analysis and forecasting.
By shifting efforts from manually extracting product data to a streamlined workflow - teams now focus on informed decision-making.
Diesel teams can review predicted tags and send their feedback back to VueTag networks, which improves the accuracy of predictions over subsequent iterations of uploads.
Standardized tags for clean, consistent catalogs
Standardizing data across the catalog is essential for unifying the shopper experience across channels. Vue.ai’s automated product tagging solution identifies missing data, incomplete metadata, or duplication of images across sellers. It helps reconcile visually and textually extracted attributes.
VueTag also highlights inconsistencies and boosts the confidence and accuracy of attributes based on contextual cues from different sources.
VueTag takes into consideration the information based on historical product data or data uploaded from various sources. This helps standardize the information stored in the database about that product.
Diesel decided to integrate Vue.ai’s automated tagging solution via API with their incumbent catalog management & PIM system. Once integration & testing were completed, Diesel could automate tagging of all images in a seamless, hassle-free manner.
A critical aspect of the integration was the standardization of product data. The integration process included the ability to customize & map the values of attributes to match exactly what the Diesel team wanted. This included training the Vue.ai networks to recognize and identify logos & patterns, which the Diesel team considered “iconic.”
As a globally recognized brand - Diesel has many iconic logos. A key part of the automation process was detecting these logos on products automatically by the system. So while the technical integration was underway - the Vue.ai networks were trained to identify & recognize these logos.
Vue.ai’s tagging solution can build customer-specific taxonomies and train networks to identify highly specific custom tags. The system understands both text and image-based input, giving it the ability to identify specificities in a product and making it easier to be tagged - in a consistent & easy-to export format.