Parms is an ecosystem designed for automation of merchandising processes. It uses computer vision to analyze products on store shelves and help businesses make decisions based on timely, accurate and complete data.

Parms uses neural networks and computer vision to analyze photos in real time and compare realogram against planogram. To recognize a new product, you need only a high-quality image, which allows analyzing it from the day it goes on sale.

You will receive 100% of processed photos from merchandisers and detailed reports generated on their basis on time. Goods Checker adds data to analytics immediately after processing the photo, without missing a single image. You will be able to make fact-based management decisions in a timely manner.

You will prevent errors in reports due to carelessness or fatigue of managers. Instead of managers, the neural network will recognize all products and POSM on the shelf, compare them with the planogram and generate an accurate result about the correct display in all photos.