Cash+ Product Suite computes cash demand predictions and optimizes replenishment levels at each cash point by utilizing advanced machine learning and operations research algorithms. It analyzes cash point profiles by their variable data such as past demands, current trends, seasonality, holidays and up-to-date events and successfully provides optimum replenishment schedules and order recommendations for each cash point at a minimized cost.
How Cash+ differs from its competitors:
High accuracy in cash withdrawal and deposit demand prediction
Flexibility in reporting functions. Sample reports can be listed as
Ability to set parameters and configurations per Cash Point
Fast to manage large Cash Point networks
Simulation and performance evaluation tools
Simulation Module is designed to validate, optimize, foresee replenishment cycles using different parameter sets.
Simulation Module allows cash management professionals to compare different results while changing operation parameters.
GeoAnalytics Module allows users to track real-time ATM Cash Levels on a map-based visualization interface using various heat map layers. It offers backend machine learning algorithms to support different decision making processes such as determining new ATM locations, device upgrades or consolidation of multiple networks.
Advanced Planning & Reporting Module allows to maximize the efficiency of your cash point network with advanced Machine Learning and Operations Research algorithms supported by enhanced reporting capabilities.