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🏷️ Price recognition

This feature is designed to provide valuable insights and analytics on product pricing, helping users to check their product placement and ensure pricing compliance.

How it works​

The Price Recognition feature uses advanced image processing and machine learning algorithms to identify and extract price tags and analyse the text found inside, from images of retail shelves. The algorithms are trained on a wide variety of images and pricing formats, making it highly accurate and robust.

Once an image is uploaded, the system will automatically detect and extract pricing information such as unit prices, total prices, and discounts.

Use cases​

Price Recognition has a wide range of use cases, including:

  • Monitor and analyze pricing strategies of all products on a shelf
  • Track price changes over time
  • Identify and correct pricing errors
  • Monitor compliance with pricing policies
  • Ensure product placement compliance in reference with the price tags

Getting started​

To start using the Price Recognition feature, simply upload an image of a retail shelf to a Detection Job with the Price Recognition feature enabled. The system will automatically detect and extract pricing information and return in as part of the response JSON.

Here is an example of the type of data you can expect:

By automating the process of detecting and extracting pricing information, it saves time and resources, while providing valuable insights and analytics on pricing strategies. Whether you're looking to monitor and analyze pricing strategies of the competition, optimize your own pricing compliance, or track price changes over time, Price Recognition can help you achieve your goals.