- Product Search
- Image Classification
- Text in Image
- Object Detection
- Auto-tagging (Image)
Boost sales with precise shelf insights.
(9 ratings)
ShelfWatch offers custom pricing plan
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7.8/10
Spot Score
ShelfWatch offers businesses the ability to enhance sales force productivity, gain actionable insights from shelf conditions, and optimise sales with >95% SKU-level accuracy. The user-friendly platform requires minimal time for image training and allows seamless integration with existing tools. Moreover, ... Read More
Product Search is a powerful and comprehensive tool that allows users to quickly and easily search for specific products within a database or website. This feature is especially useful for online shopping platforms or inventory management systems. With Product Search, users can enter keywords, product names, or even specific product codes to find exactly what they are looking for. The search results are displayed in a user-friendly format, making it easy to compare products and their attributes. This feature also allows for advanced filtering, allowing users to narrow down
Image classification is a feature commonly utilized in various software applications to automatically identify, categorize, and organize digital images. It is a vital tool for managing and sorting through large volumes of images, making it an essential feature for professionals working with visual data. Typically, image classification works by using advanced algorithms and machine learning techniques to analyze the visual content of an image and classify it into predefined categories or classes. This process involves a series of steps, including feature extraction, pattern recognition, and model
Text in Image is a powerful software feature that allows users to insert text into images seamlessly. Whether it's for creating promotional materials, adding captions to social media posts, or personalizing photos, Text in Image makes it easy and efficient to enhance any visual content. With Text in Image, users have the ability to choose from a variety of fonts, sizes, and colors to customize their text. This gives them the flexibility to match the text with the overall look and feel of the image. Furthermore, the
Object detection is a powerful software feature that allows users to identify and locate different objects within an image or video. It utilizes advanced algorithms and techniques to recognize and categorize objects based on their visual characteristics, such as shape, color, and texture. With object detection, users can easily detect and track individuals, vehicles, and other uniquely identifiable objects in real-time. This feature is especially useful in surveillance systems and traffic management, helping to enhance security and optimize roadway operations. One of the key components of
Auto-tagging (Image) is a feature that utilizes advanced image recognition technology to automatically assign relevant tags or labels to images. This means that instead of manually typing in keywords or tags for each image, the software can quickly analyze the visual content and accurately assign the appropriate tags. This saves users a great deal of time and effort, as manually tagging images can be a tedious and time-consuming task. The auto-tagging feature greatly benefits businesses and individuals who deal with large amounts of images on a regular
Customer Service
Online
Location
Lewes, Delaware
ShelfWatch offers businesses the ability to enhance sales force productivity, gain actionable insights from shelf conditions, and optimise sales with >95% SKU-level accuracy. The user-friendly platform requires minimal time for image training and allows seamless integration with existing tools. Moreover, ShelfWatch has customisable KPIs which provide a comprehensive overview of store operations. These metrics include Planogram Compliance, Share of Shelf, Point-of-Sale Material Compliance, Price Tag Compliance, On-
Disclaimer: This research has been collated from a variety of authoritative sources. We welcome your feedback at [email protected].
Researched by Rajat Gupta