Retailer Magnit launched a pilot project to recognize goods on store shelves using a neural network. The system analyzes the availability of necessary goods and their remaining stock in the store, the sequence of layouts, the location of items on the first line and other indicators. The verification accuracy is up to 98%. In case of successful testing, the technology can be extended to more than 20 thousand stores. The testing will last three months.