RetailApp ObjectRecognition

Functionality

• Automatic object recognition: Reliable identification of products placed on the load plate via AI-based object recognition. Display of a proposal list on the customer display
• Cloud and offline: Individual product classification
• Ongoing model improvement: Permanently growing, global database constantly improves and expands the AI model thereby increasing recognition accuracy
• Central management and updates: Updates of the AI model are centrally managed and automatically applied to the scales
• Time and resource savings in assortment maintenance: No more time-consuming manual entries when assortments change thanks to automatic article number mapping

Benefit

• Less sales losses from registration of products other than placed on the scale:
  • Active display of a suitable product preselection
  • Less label waste from discarded labels by avoiding mislabeling
• Decreasing fraud rate: Active display of preselection reduces intentional registrations of lower priced products
•  More shopping convenience and time savings during self-service weighing:
  • Automatic product recognition without manual article number input
  • Intelligent support for shoppers even when offering a wide range of products
• Time-savings and simple implementation
  • The existing model can be used from day 1
  • Fast, uncomplicated implementation. Self-learning system - no additional, time-consuming learning effort for local product specialities

RetailApp Architecture

• Delivery by default in German, English, French, Spanish and Italian
• Configuration via web interface for editing on scale or remote editing
• Integration in scalebackup and monitoring
• Deinstallation process