AI in E-commerce Business

    Increase revenue with digital personalization.

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Optimize product search and discovery with computer vision and AI.

Search is at the heart of modern E-commerce. Ranking search results, personalizing product recommendations and improving product discovery are critical to driving revenue. AI allows you to better capture insights from your images, video and text and leverage that data to improve the customer experience.

Leverage AI to Drive the E-commerce Experience

Increase loyalty, boost profits and maximize customer lifetime value with AI.

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Use Cases

  • Visual search

    Increase conversions with similar product recommendations

    Maintain customer engagement in situations where an item is out of stock. Suggest similar relevant product suggestions to reduce bounce rates, increase basket size and drive sales.

  • Metadata Generation

    Improve SEO onsite and offsite with advanced data labeling

    Improve search engine optimization and make it easy for your customers to discover your products online. With AI automated data labeling, provide them with faster expanded search results to reduce bounce rates and make purchase decisions faster. Use our apparel, furniture, home goods or general models to automatically label your visual data with relevant keywords.

  • content moderation

    Protect brand integrity by moderating user generated content

    Detect unwanted content within user generated images, video or text. Moderate consumer reviews including text and images to avoid content being uploaded that jeopardizes your brand integrity. Try out our Image moderation and Text moderation models.

Need help data labeling?

Outsource your data labeling tasks—images, video and documents—to a team of specialized data annotators and researchers. We can quickly, accurately and securely label the training data you need to validate and tune your models. Contact us to learn more.

Learn more about Scribe LabelForce

  • Natural Language Processing

    Improve the customer experience leveraging sentiment analysis

    Use NLP and text classification to recognize intent and sentiment of text data within social posts, user reviews, internal email communications. Gain a better understanding of the voice of your customer through social listening. 

  • Natural Language Processing

    Enhance the customer experience by improving chatbot efficiency

    Use NLP to recognize intent within text data to respond to questions from customers better. Improve customer service and provide better buying experiences. Take into account various forms of language that relate to various topics. Identify multiple sentiments and events within one customer service call.

Improve the customer experience with AI.

Download the Solution Brief

Explore our pre-built, pre-trained AI model gallery.

Gather valuable business insights from images, data and text using machine learning, image recognition and computer vision.

  • Apparel detection

    Recognize clothing, accessories and other fashion related items.

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  • Image moderation

    Identify unwanted content in user generated images and video content including gore, drugs, or explicit or suggestive nudity.

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  • Text moderation

    Detect toxic, obscene, racist or threatening language in user reviews, social media posts or other user generated text data.

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  • Text embedding

    Assign tags or any custom concept to analyze text based on its contents. Build accurate models for topic and sentiment analysis and smart reply.

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  • Demographics model

    Gain insights in to your customer segments such as age, gender and ethnic presentation.

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  • Face detection

    Detect the presence of human faces with bounding boxes.

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  • Travel

    Recognize specific features of residential, hotel and travel-related properties.

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  • Wedding

    Recognize over 400 concepts related to weddings including bride, groom, flowers and more.

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  • Food

    Recognize more than 1,000 food items in images down to the ingredient level.

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  • Textures and patterns

    Acquire and apply knowledge for recognizing textures/patterns in a two-dimensional image.

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  • Face embedding

    Analyze images and returns numerical vectors that represent each detected face in the image in a 1024-dimensional space. 

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  • Not safe for work

    Identify different levels of nudity in visual content.

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  • Color

    Identify the colors dominant in your media in Hex or W3C form.

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  • General embedding

    Analyze images and returns numerical vectors that represent the input images in a 1024-dimensional space.

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  • General

    Recognizes over 11,000 different concepts including objects, themes and moods.

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  • Celebrity

    Analyze images and returns probability scores on the likelihood that the media contains the face(s) of over 10,000 recognized celebrities.

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  • Custom

    Create your own custom model and teach it with your own images.

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  • Model gallery

    Explore our pre-built, ready-to-use image recognition models to suit your specific needs.

    Visit our model gallery
  • Ready to get started?

    We can help you advance your AI projects. Contact us to schedule a demo to learn about our AI-driven solutions.

  • Already a customer?

    If you are encountering a technical or payment issue, the customer support team will be happy to assist you.

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