Cash Logistics

Cash Logistics

Cash is inevitable for the majority of the society and demand for cash is rising significantly

The need for Cash is still on the rise and the Cash Logistics Market is expected to grow to 30.7 billion USD by 2025 with a Compound Annual Growth Rate (CAGR) of 7,8%. Accommodating such growth requires careful planning and optimization techniques to ensure:

  • Emergency cash and service needs
  • Management of growing number of cashpoints
  • Accurate prediction of cash demands
  • Planning for highest availability with the lowest operational costs

Arute’s machine learning and mathematical optimization expertise has turned into tailored software products for the Cash Logistics to provide optimal plans to reduce cost and to ensure highest level of service.


How to keep up with the rising cash demand in volatile, uncertain, complex and ambiguous (VUCA) world?

To keep up with the rising cash demand, banks keep their ATMs stocked with massive amounts of cash. But the key is to stock the right amount of cash to meet demand, without letting cash sit idle— where it can rack up interest costs. Plus, there are operating expenses to consider, such as the costs of carrying the cash between cash management centers (CMCs, Vaults) and ATMs, preparing cassettes or cash bags, counting collected cash, maintaining ATMs, and paying Cash-in-Transit (CIT) staff. This leaves the banks asking an important question:

When should we visit ATM and Branches and how much cash do we need to replenish to them, abiding by all the constraints of the operation with the minimal cost?

With Arute’s Cash+ Optimization Software, the banks or cash logistics providers can identify the optimal answer to this question, they can keep ATMs and Branches sufficiently stocked—which increases customer satisfaction—while keeping costs at the minimum level possible.

Please refer to Cash+ product page for more details on our state-of-the-art Cash Optimization solution…

CIT Routing+

What are the essentials of an optimal cash distribution strategy?

The optimal distribution of Cash to each cashpoint based on the replenishment plans can be a tedious task as the CIT operation is competing against time to ensure best customer service. The amounts of cash to be delivered each day could be tremendous requiring careful planning of each day from start to finish. During the day, there could be cash-outs and breakdowns that require immediate attention which should be taken into serious consideration.

Since 2009; Arute Solutions sharpen its expertise in forecasting and optimization software solutions for routing operations. Our strength lays in our experience and enormous time and effort devoted to produce the most powerful optimization solution for Cash-in-Transit (CIT) services. The differences between the SLA-intensive CIT Routing requirements vs. standard routing requirements are crystal clear to Arute and we execute with this strength that we developed over a decade:

Arute CIT Routing+ solution considers the whole CIT operation to carefully plan vehicle to cashpoint assignments, calculates optimal daily routes based on the master plan and dynamically optimizes the remaining routes in case of unpredicted delays. CIT Routing+ does optimization considering all SLAs and the constraints of the field operation to ensure the best customer service.

Please refer to CIT Routing+ product page for more details on our CIT routing optimization solution…

Forecast+ ATM

How can we overcome the challenges in precise forecasting per cashpoint with ever-changing user patterns?

As banks and ATM operators deal with the necessities of everyday operation, precise prediction of cash demand plays an important role in ensuring optimal plans and ensuring best customer service.

As Arute, we do know the challenges in providing good prediction based on the different events of the ATMs and the time series data that these events produce:

Please refer to our blog page for an insight on how we overcome these challenges:


Forecast+ ATM provides the best possible predictions considering various set of patterns. Some of them are:

  • Yearly observed general pattern of cash usage in a given cashpoint
  • Monthly periodic occasions that distinguish the behavior of users or changes in the activity of users depending on Bank Holidays, Salary Days, Special Day effects, etc.
  • Daily changes observed user behavior patterns (cash withdrawal activities during rush hours, cash collection from SME merchants)
  • Intelligent anomaly detection to distinguish between one time occurring events vs. changes in the regular behavioral patterns

Advanced time-series forecasting methods are used by Arute Solutions. Please refer to Forecast+ ATM product page for more details on our AutoML Forecasting solution…

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