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Cash remains an essential component in the payment behaviour of Germans. However, operating numerous cash dispensers is facing increasing cost pressure in both large cities and rural areas. If too much money remains in an ATM for an extended period, interest rates increase operating costs and contribute to a higher theft risk.
Conversely, an ATM with too little cash can quickly become a nuisance. Therefore, it is crucial to account for special events. National festivals or local Christmas markets can significantly increase the demand for cash at dispensing points
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The management of cash stocks for significant events in ATMs is sometimes based on manual planning. This is particularly true for special events that are atypical for the location of the ATM. As a result, the planning process for filling ATMs is prone to errors and involves a high administrative burden for employees.
By using generative AI, our team of experts enables you to:
Automatically determine cash-relevant events and categorise them with regard to location, expected number of visitors, and event type.
Intelligently assign event data to affected cash dispensers.
Integrate cash-relevant events into machine learning processes for cash demand forecasting.
The automated recognition of relevant results by using generative AI has already been implemented as a prototype for a significant number of machines. By integrating the results into time-series forecast models, interest costs could be reduced by 30-40% compared to conventional forecast methods.
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There were around 52,000 ATMs in Germany in 2023. However, to maintain the associated service and optimise filling volumes, they will need to be operated more cost-effectively in the future. Artificial intelligence can play a key role in controlling the central variable.
Savings in personnel costs for the manual determination of special cash requirements and management of value transportation companies.
Reduction of operational interest costs
Automated updating of all cash-relevant events by merging data from various sources (ATM blasting, construction sites, weather data).
How much cash, in which denomination, is needed for one or a group of cash machines at a particular time?
Our experts will develop a customised concept to answer this question for you. Make an appointment today.
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Fincon Reply ist ein Business- und IT-Beratungsunternehmen mit Fokus auf die Finanzdienstleistungsindustrie. Fincon Reply berät Banken, die Sparkassen-Finanzgruppe, Versicherungen und Near-Financial-Unternehmen sowie deren Zulieferer proaktiv bei ihrer digitalen Transformation. Das Unternehmen unterstützt vor Ort mit spezialisierten Berater- und Entwicklerteams und liefert schlüsselfertige Lösungen.