• Brick & Mortar

    Redefine the retail experience with Computer Vision and AI

    Improve the customer experience across the shopping journey.

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Integrate online and offline shopping experiences using Computer Vision, NLP and AI

Take advantage of video, text and image data to create intelligent stores. With AI data insights be alerted to emerging trends that human analysis would miss. Gain insights into customer-employee interactions, provide safer experiences and boost profits with creating multichannel experiences using Computer Vision and AI.

  • Optimize planograms to drive product sales

    Learn how consumers flow through your store. Gain an understanding of customer foot traffic and dwell times in order to merchandise your store more effectively to drive sales.

  • Monitor people counts for safer shopping experiences 

    Gain customer trust and repeat business by securing points of entry to monitor customer counts to meet building code and social distancing guidelines. 

  • Integrate the offline and online experience with visual search

    Make it easier for customers to find products they want by searching by image or photo instead of keywords. With visual search and computer vision connect customers with similar products to increase their likelihood to purchase and increase cross-selling.

  • Discover customer insights with AI-driven social listening

    Monitor social media channels for mentions of your brands, competitors, products and keywords related to your business using NLP. Measure customer sentiment and conduct audience research. Track, analyze and respond to conversations about your brand on social media.

A Retail Product Leader’s Guide: How to Drive Revenue with Computer Vision AI

Learn how three retailers are using computer vision AI to streamline business operations and improve the customer experience.

Download the E-book

Explore our ready-to-use model gallery

  • Apparel detection

    Recognize clothing, accessories and other fashion related items.

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  • Demographics

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

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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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  • Text moderation

    Detect toxic, obscene, racist or threatening language, or train your own custom moderation models.

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  • Image moderation

    Identify unwanted content including gore, drugs, or explicit or suggestive nudity.

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  • Face detection

    Detect the presence of human faces with bounding boxes.

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  • Textures and patterns

    Designed to acquire and apply knowledge for recognizing textures/patterns in a two-dimensional image.

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  • Celebrity

    Identify the likelihood that the image or video contains the face(s) of over 10,000 recognized celebrities.

  • Travel

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

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  • Wedding

    Detect the presence of human faces with bounding boxes.

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  • General

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

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  • Not safe for work

    Identify if images contain nudity.

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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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  • Food

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

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  • Face embedding

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

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  • Color

    Analyze density values for dominant colors in images. Color predictions are returned in hex format and W3C.

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  • Model gallery

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

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  • Custom

    Create your own custom model from your images and video.

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  • Ready to get started?

    Whether you're a start-up or a Fortune 500, we'd like to discuss a personalized plan that fits your business use cases.

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

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