The system with the unique technology of recognizing objects on images. The algorithms developed to make it possible to detect, localize, and categorize products at the pictures. The system supports field force with capturing and analysis the actual state of a shelf. Processing images from stores may provide real-time information concerning most common in-store execution metrics such as On-Shelf-Availability, Out-of-Stocks, and Planogram Compliance. Substituting the manual audit with Digital Merchandising enables stakeholders to receive the in-store data with a significantly lower effort and cost. Machine Learning algorithms, supporting the analytical layer of the reporting system, provide actionable and consistent pieces of information and alerts which drive smarter decisions in all dimensions: product management, promotion management, and required SKU-level replenishment.