MaestroOptimize is a business intelligence application that manages all factors influencing the operational processes and optimizes the operation in the most effective way. This application is the most significant module that distinguishes Maestro from its alikes.

MaestroOptimize makes possible:

• efficient route planning and better route security
• performance management of processes and personnel
• reduction of operational time and costs
• cost analysis
• optimization of cash to be stocked at cash centers & ATMs
• efficient management of seasonal and calendar-based deviations (national holidays, feasts, weather dependent behavioral patterns, etc.)

MaestroOptimize is a system that learns. By deploying statistical algorithms it converts historical data to information that can be fed to decision making process. As the operational data accumulates MaestroOptimize will produce more reliable information.

MaestroOptimize in ATM Forecasting

MaestroOptimize is a perfect tool to forecast the necessary cash supplies of ATMs. It deploys Solice's unique POS data model to manage all the parameters that influence the cash needed. Cash supply needs change always depending on various factors. Unfortunately, there is no rule such as daily cash supply needed is approximately the daily average of last three months. It will absolutely change from ATM to ATM according to ATM location, environmental factors, nearest facilities and other unknown circumstances as yet. Furthermore, the same ATM will show different cash supply patterns in the timeframe. Calendar based events such as religious / bank holidays, concerts, social events also influence the cash need. Uncontrollable conditions are among important criteria too. For example, in rainy days, offside ATMs are rarely used. MaestroOptimize, of course, could not determine whether it rains or not, but it can manage its effects.

MaestroOptimize offers a dynamic cash supply model. This model also includes all necessary entities affecting the cash supply and relationships between them. It processes incoming data (historical ATM cash supplies, calendar based events etc.), and produce a forecast predicting cash supply needs.