• Brick & Mortar

    AI in Retail

    Leverage Artificial Intelligence to improve the customer experience across the shopping journey.

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AI in retail is integrating the online and offline shopping experiences.

With computer vision and NLP leverage your video, text and image data to create intelligent stores. With AI data insights be alerted to emerging trends that human analysis would miss. Using AI gain insights into customer-employee interactions, improve the shopping experience and boost profits by creating multichannel experiences.

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The Ultimate Guide to Retail AI

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Use Cases

  • 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.

  • 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.

    Learn more about Natural Language Processing

  • 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.

    Learn more about visual search

Redefine the retail experience with computer vision AI.

Take advantage of real-time video and image data to create intelligent stores.

Download the Solution Brief

Explore our pre-trained, pre-built AI models.

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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  • 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.

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  • 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.

    Visit our model gallery

  • Custom

    Create your own custom model from your images and video.

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  • 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.

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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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