Availability
The right cash amount in each ATM is critical. Predictions must also align with central-bank guidelines so commercial banks keep minimum cash levels and customer satisfaction high.
BFSI · Predictive ML
Cash-flow management for ATM networks that never runs dry — or fat
A cash-flow management solution for ATMs: Visive designed forecasting that outperforms market prediction tools and helped a global bank raise ATM management profit by up to 6%.
- Scale
- 2000+ ATMs
- Lift
- Up to +6% profit
- Model
- LSTM time series
- Partner
- Fidel AI
Problem & solution
Predict the right cash at every terminal
A bank with more than 2,000 ATMs worldwide needed ATM cash forecasting for cash-flow management. They chose Visive for innovative technology delivery and enterprise system expertise. We carefully designed a complex solution that outperforms other market prediction products — solving overall ATM cash-flow problems while increasing management profits by up to 6%.
Key features
Availability, optimization, automation, satisfaction, forecasting
Optimization
Solve availability and optimization together. Avoid insufficient cash and excess inventory while outperforming existing predictive solutions — with measured profit lift.
Automation
Automatic analysis of past transactions predicts amounts for each ATM. Notifications and timely reports reveal withdrawal trends by location.
Customer satisfaction
Uptime services at ATMs retain customers when choices abound. Forecasting demand changes keeps machines ready when people need cash.
Forecasting
Banks pay insurance and management fees for cash under the machine. Pattern/trend and real-time data make forecasting accurate and cost-effective — an LSTM deep-learning model for time-series outflow per ATM.
Security-ready
With partner Fidel AI, banks improve overall cash-flow management while meeting stringent industry security requirements.
FAQ
Models, software value, and techniques
Top forecasting horizons
Daily models support short-term liquidity; weekly models give a medium-term view; monthly models support long-term planning and budgeting extensions.
How software helps
Automate ATM cash management, minimize human error, and optimize to demand. Advanced forecast and cost algorithms can save up to 30% on ATM operational costs while strengthening availability.
Time series & neural nets
Historical ATM data — day, working day, month, year — combines with neural networks to learn relationships that predict daily cash demand and cut financial cost.
Exploratory data analysis
Visual methods summarize characteristics beyond formal modeling so seasonality and variability become actionable.
Risk & loss
Without proper tooling, forecasting is vulnerable to human error. Software categorizes terminals by seasonality and variability to mitigate risk and prevent loss.
Operational impact
Cash under the machine is expensive — forecasting pays for itself
Commercial banks care about availability because ATMs changed how everyday transactions happen. Predicting the appropriate amount — while staying aligned with central-bank guidelines — is critical for minimum cash levels and customer satisfaction. Our solution answers both availability and optimization: it outperforms other market prediction tools, raised ATM management profit by up to 6% in a large network engagement, and helps banks avoid the twin failures of empty cassettes and excess idle cash.
Time is valuable in corporate banking. Automated analysis of past transactions predicts demand per ATM and sends notifications and reports that reveal location-specific withdrawal trends. In an era of many consumer choices, retaining customers means keeping machines up when people need cash. Forecasting demand changes is therefore not optional analytics — it is core uptime service.
Banks also bear insurance and management fees for cash sitting in machines. Pattern and trend analysis plus real-time data make LSTM time-series models accurate and cost-effective predictors of each ATM’s outflow. Together with partner Fidel AI, Visive meets stringent security requirements while improving overall cash-flow management. Direct cash management software can save up to 30% on ATM operational costs by minimizing human error and optimizing to true demand — categorizing terminals by seasonality and variability so risk and loss stay controlled.
Liquidity horizons
Daily, weekly, and monthly cash models in one operating rhythm
Short-term daily forecasting manages day-to-day liquidity. Weekly models give medium-term cash positions. Monthly models support long-term planning and budgeting. Visive’s ATM software unifies these horizons with neural time-series techniques and exploratory analysis so treasury and operations share one view of seasonality, variability, and risk.
Experts ready
Need ATM cash forecasting?
Discuss your ATM network with Visive + Fidel AI. [email protected] · +1 (442) 264-1012