Media replenishment predictor

US12307451B2 · kind B2 · utility

Assignee

• NCR Voyix Corporation · US

Inventors

• Itamar David Laserson · Givat Shmuel, IL
• Norman Leonard Trujillo · Frisco, US

Key dates

• Filing date: Apr 5, 2022
• Grant date: May 20, 2025
• Expiry date: May 11, 2042

Classification

• Technology area (CPC G): Physics
• CPC primary: G07G1/14
• WIPO field: IT methods for management
• WIPO sector: Electrical engineering

Abstract

Historical transaction data, events, replenishment activities, and terminal statuses for terminals of a given store are obtained. The data is preprocessed to include calculated terminal traffic patterns, cash usage patterns, and elapsed time until a replenishment activity for a given interval of time on per terminal. A machine-learning model (MLM) is trained on the modified data to configure itself for predicting the elapsed time per terminal. Real-time transaction data, events, and terminal statuses for the terminals of the store are obtained at the interval of time, and current traffic and usage patterns are inserted into the real-time data and fed as input to the MLM. The MLM returns terminal identifiers for the terminals and corresponding elapsed periods of time until a projected replenishment activity is likely to occur. The terminal identifiers and corresponding elapsed periods of time are rendered within an interface accessible to the store for media management.