Vue.ai’s product data platform, VueTag uses AI to extract and enrich product data from structured or unstructured visual and textual inputs. The automated process is instant, learns from feedback, saving manual effort, time, and resources.
Trusted by over 150+ retailers across the globe
VueTag uses computer vision and Natural Language Processing to extract data from images and text, and power a wide range of solutions. The product data platform includes solutions to assess the quality of product images and text, build and enrich product tags and metadata, and sort data to give assortment and catalog insights. The A.I. systems are able to process thousands of products in mere minutes - saving time and resources, while improving quality.
*Observed on an average for VueTag customers across the globe
Vue.ai’s ML tagging tool enables retailers to structure and label product data efficiently. The tool can be used for building custom taxonomies and attribute structures based on business priorities. Through the tool, users can visualize the catalog spread and create AI models that can label, categorize and organize data at scale. Both the output structured product data and the trained models can be exported to fit into any existing systems.
Diesel observed faster product digitization in less time and a shorter go-to-market period with VueTag. They also saw a decrease in the effort taken to manually tag products and an improvement in the efficiency of product onboarding. The depth of the meta tags allowed enhanced search and detailed filters leading to better product discovery.
“Excellent Product with easy-to-use UI.”
We are using VueTag for all the product tagging. This allows us to cut down on the internal team to tag our products in the back end. Since VueTag already has the product attributes built out, it’s pretty straightforward to map out these fields. The product tags help our team look at product trends, and our filters heavily depend on these tags.
Eileen Rizzo,
CIO, Ashley Stewart
We engaged with Vue.ai, which had the ability to actually reduce the headcount while increasing accuracy in increasing the throughput.
“Great products for eComm/fashion + support from a dedicated team!”
Fast + accurate + stable item data tagging that resulted in cutting our fixed costs and increasing sales. We were able to double the tagging speed with Vue.ai. As a result, we were able to cut labor, spacing, equipment cost, etc (1/4 of what it used to be). Also, data standardization helped products searchability and improved sales.
Anandamoy Roy Chowdhary,
Director of Technology,
Sequoia Capital India
The Vue.ai team is on a mission to put AI and intelligent automation in the hands of teams across the globe in ways that improve productivity and growth multi-fold.
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The ultimate Excel alternative to build rich product data: AI Read how AI-powered systems extract and enrich retail product data.
READ BLOG POST »Creating and Enhancing E-Commerce
Product Data with AI
Find out how the global fashion brand Diesel fixed its product tagging challenges with VueTag
READ CASE STUDY »How Diesel uses AI to fix
their product data
How easily your product can be found, both within your site and through search engines, depend on your catalog’s metadata.
READ BLOG POST »Metadata: How Discoverable
Is Your Product
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