Product
Visual search is central to an omnichannel marketing strategy because makes online shopping experience flawless.
increase in conversion rate with enhanced shopping experience
page visitors with improved engagement
E-Commerce site customer uploads or takes a picture of the style in real-time.
Search results on your e-commerce website show visually similar items.
Customer selects products to buy.
SalesVision's automatic fashion tagging uses deep learning and advanced image recognition algorithms to tag categories and subcategories from any image. It performs product scans, detects clothing in pictures, and breaks down the style and color details in minutes.
SalesVision visual search engine has a 95% accuracy rate. 4x higher on average compared to other visual search tools.
Our solution consistently achieves the goal of finding the most similar match and offers accurate meta-tagging.
SalesVision Visual Search Engine detects multiple objects in an image with a single upload.
No manual photo cropping to search for relevant product.
Frictionless shopping experience with real-time camera search.
We are a team of Ph.D Machine Learning experts. We spent years developing content-based image retrieval technology for e-commerce businesses.
At SalesVision, we complement the object detection model with object segmentation. Object segmentation accurately extracts each style element's pixels, finds its distinctive attributes, and precisely determines colors.
Many companies require product images to have a specific aspect ratio, resolution, and background to tag them correctly. Our software's precision is not affected by the background, aspect ratio, or the quality of the photo. We use deep learning methods and Convolutional neural networks that are the most advanced tools for automatic image analysis.
As a result of precise auto-tagging, you get accurate and SEO-ready titles, descriptions, and tags. They boost your product discoverability and enrich the metadata of the catalog. Taking your product to the very top of the search results increases website traffic and boosts sales.
At SalesVision, we complement the object detection model with object segmentation. Object segmentation accurately extracts each style element's pixels, finds its distinctive attributes, and precisely determines colors.
Many companies require product images to have a specific aspect ratio, resolution, and background to tag them correctly. Our software's precision is not affected by the background, aspect ratio, or the quality of the photo. We use deep learning methods and Convolutional neural networks that are the most advanced tools for automatic image analysis.
As a result of precise auto-tagging, you get accurate and SEO-ready titles, descriptions, and tags. They boost your product discoverability and enrich the metadata of the catalog. Taking your product to the very top of the search results increases website traffic and boosts sales.