Automatically identifying attributes
Most brands are not capitalizing on the data available to them, limiting their understanding of their businesses. Attributes enable structured data, which provides brands with the insight to analyze relevant data effectively.
We use Natural Language Processing (NLP) and image recognition to tag product attributes to provide optimal searchability for both brands and their markets. Auto-Tagging combines NLP with Intelligent Classification to logically categorize the product. This enables Trendalytics to analyze data on multiple dimensions, matching queries with serialized data to retrieve highly-refined results.
Auto-Tagging translates product and trend information by automatically analyzing data to surface key attributes such as color, style, and product features. With this technology, brands can apply highly searched terms to their products and easily identify trending product attributes.