Based on the self-developed Retail-Net commodity recognition deep learning network, already updating to 2.0 version, achieving an high image accuracy rate of 99.8% and reporting within 2 seconds. Image recognition technology has covered millions of different types stores across the country, and has accumulated hundreds of thousands of SKU database. It shows advantages in rapid modeling, accurate recognition, complete data collection, offline recognition and second recognition, which could provide a solid guarantee for the brand to win the market.

Based on the diversified deep service needs of customers, ImageDT builds a channel digital closed-loop combat platform, and builds a practical scenario from execution, monitoring, insight to optimization with the goal of business driven.