IPnrSaicgthictasl 
“This model goes beyond efficiently managing 
demand in cash points (shops, ATM´s, bank 
branches and vaults) at the right time, but also 
seeks a breakeven point between several 
factors.” 
Cash Management Optimization, CMO: 
The formula for drastically reducing cash 
management costs 
With the high level of competitiveness in today´s market, it is crucial to optimize all 
financial resources in companies and institutions. One of the processes that pres-ent 
the greatest opportunity to reduce costs is Cash Management Optimization 
(CMO), especially for organizations that deal with high volumes of cash, such as 
the banking and retail sectors. 
The Cash Management Optimization model brings the movement of cash between 
participating entities-- both internal and external-- to an optimal level, by defining a 
series of processes, statistical models and technological solutions. This way they 
can guarantee that the demand is foreseeable, and that financial resources will be 
used efficiently. 
Manuel Hinojosa 
Business Director
“CMO decreases immobilized cash by 30-40% 
and reduces cash transport volume by 20%.” 
‘Practical InSights’ es una publicación de Neoris. Este material no podrá ser reproducido ni copiado 
total o parcialmente, sin el consentimiento expreso de Neoris. Neoris ofree servicios de consultoría de IT y Negocios, 
especializada en la consultoría de valor agregado, tecnologías emergentes y soluciones de outsourcing. Con sede en 
Miami, Florida. Neoris tiene operaciones en EE.UU., Europa, América Latina, África y el Medio Oriente. 
Para obtener información oficina local, por favor visite www.neoris.com 
703 Waterford Way. Suite 700. Miami, FL 33126 
Phone: (1) 305-728-6000 / Fax: (1) 786- 388-3139 
This model goes beyond efficiently managing 
demand at cash points (shops, ATM´s, bank 
branches and vaults) at the right time, but 
also seeks a breakeven point between 
several factors. It seeks to reduce the 
amount of immobilized cash (that which can´t 
be invested to generate additional financial 
resources), satisfy real cash demand in dif-ferent 
points, and reduce the cost of trans-porting 
cash through companies providing 
this service. For instance, some cases have 
proven a 60% reduction in missing cash at 
ATM´s and a 40% decrease in immobilized 
cash. 
The CMO Model analyzes and determines 
the efficient assignment of limits and security 
levels to determine the optimal number of 
deliveries and amounts. This formula deliv-ers 
more availability of cash where it is really 
needed and frees exceeding resources for 
other commitments or investments. To 
achieve this, the process design for the model 
must be multi-channel, flexible, and modular 
with a focus on growth according to demand. 
However, in order to establish improvements 
and procedures to optimize the cost of moving 
and storing cash, institutions must establish 
consumption patterns; routes, risks, transport 
costs, as well as schedules and delivery 
restrictions. All of these variables must be 
analyzed and managed through the imple-mentation 
of a highly specialized technological 
tool. 
The CMO Model can involve thousands of 
cash points with numerous and complex 
variables, such as location, seasonality, 
cost of cash, type of cash point, among 
others. This is why the optimization of 
this process through conventional tools is 
practically impossible. Retail and banking 
institutions, beyond having specialized per-sonnel 
in each of their areas (logistics, HR, 
sales, etc.), require a technical infrastruc-ture 
and personnel with expertise in Cash 
Management to optimize these processes. 
In spite of its apparent complexity, the 
implementation of a CMO Model represents 
important benefits such as: 
Enabling a central control of operations. 
Reducing costs, manual tasks, accounting 
errors, duplicity in functions and invoicing 
errors. 
Increasing efficiency, service levels, and 
operational control. 
In our experience in implementing this model, 
we have seen cases where planning has 
decreased urgent cash transports by more 
than 80%. However, the most important factor 
to keep in mind is the amount of money that 
could be gained by incorporating all of these 
variables in a statistical model for forecasting 
and planning. 
In fact, one of the biggest savings is in the 
decrease of unproductive cash, which frees 
resources to be destined towards other activities 
with higher profit margins. Furthermore, a 
CMO Model offers improved statistical infor-mation 
for decision-making, follow-up and 
control, increased visibility on cash supply 
and demand, limits to unproductive cash, 
and decreased amounts of cash transit per 
channel. 
The optimization of cash management is an 
important step in centralizing cash planning 
in an institution and setting the basis for a 
shared services model in the midterm, thus 
generating greater savings. Given the poten-tial 
savings (15-40% of decreased invento-ry 
levels) with the CMO process, especially 
in the banking and retail sectors, organiza-tions 
have developed a keen interest in this 
process. 
The CMO Model can involve 
thousands of cash points with 
numerous and complex variables, 
such as location, seasonality, cost 
of cash, type of cash point, among 
others. This is why the optimization 
of this process through conventional 
tools is practically impossible.”

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Cash management Optimization - The formula for drastically reducing cash management cost

  • 1. IPnrSaicgthictasl “This model goes beyond efficiently managing demand in cash points (shops, ATM´s, bank branches and vaults) at the right time, but also seeks a breakeven point between several factors.” Cash Management Optimization, CMO: The formula for drastically reducing cash management costs With the high level of competitiveness in today´s market, it is crucial to optimize all financial resources in companies and institutions. One of the processes that pres-ent the greatest opportunity to reduce costs is Cash Management Optimization (CMO), especially for organizations that deal with high volumes of cash, such as the banking and retail sectors. The Cash Management Optimization model brings the movement of cash between participating entities-- both internal and external-- to an optimal level, by defining a series of processes, statistical models and technological solutions. This way they can guarantee that the demand is foreseeable, and that financial resources will be used efficiently. Manuel Hinojosa Business Director
  • 2. “CMO decreases immobilized cash by 30-40% and reduces cash transport volume by 20%.” ‘Practical InSights’ es una publicación de Neoris. Este material no podrá ser reproducido ni copiado total o parcialmente, sin el consentimiento expreso de Neoris. Neoris ofree servicios de consultoría de IT y Negocios, especializada en la consultoría de valor agregado, tecnologías emergentes y soluciones de outsourcing. Con sede en Miami, Florida. Neoris tiene operaciones en EE.UU., Europa, América Latina, África y el Medio Oriente. Para obtener información oficina local, por favor visite www.neoris.com 703 Waterford Way. Suite 700. Miami, FL 33126 Phone: (1) 305-728-6000 / Fax: (1) 786- 388-3139 This model goes beyond efficiently managing demand at cash points (shops, ATM´s, bank branches and vaults) at the right time, but also seeks a breakeven point between several factors. It seeks to reduce the amount of immobilized cash (that which can´t be invested to generate additional financial resources), satisfy real cash demand in dif-ferent points, and reduce the cost of trans-porting cash through companies providing this service. For instance, some cases have proven a 60% reduction in missing cash at ATM´s and a 40% decrease in immobilized cash. The CMO Model analyzes and determines the efficient assignment of limits and security levels to determine the optimal number of deliveries and amounts. This formula deliv-ers more availability of cash where it is really needed and frees exceeding resources for other commitments or investments. To achieve this, the process design for the model must be multi-channel, flexible, and modular with a focus on growth according to demand. However, in order to establish improvements and procedures to optimize the cost of moving and storing cash, institutions must establish consumption patterns; routes, risks, transport costs, as well as schedules and delivery restrictions. All of these variables must be analyzed and managed through the imple-mentation of a highly specialized technological tool. The CMO Model can involve thousands of cash points with numerous and complex variables, such as location, seasonality, cost of cash, type of cash point, among others. This is why the optimization of this process through conventional tools is practically impossible. Retail and banking institutions, beyond having specialized per-sonnel in each of their areas (logistics, HR, sales, etc.), require a technical infrastruc-ture and personnel with expertise in Cash Management to optimize these processes. In spite of its apparent complexity, the implementation of a CMO Model represents important benefits such as: Enabling a central control of operations. Reducing costs, manual tasks, accounting errors, duplicity in functions and invoicing errors. Increasing efficiency, service levels, and operational control. In our experience in implementing this model, we have seen cases where planning has decreased urgent cash transports by more than 80%. However, the most important factor to keep in mind is the amount of money that could be gained by incorporating all of these variables in a statistical model for forecasting and planning. In fact, one of the biggest savings is in the decrease of unproductive cash, which frees resources to be destined towards other activities with higher profit margins. Furthermore, a CMO Model offers improved statistical infor-mation for decision-making, follow-up and control, increased visibility on cash supply and demand, limits to unproductive cash, and decreased amounts of cash transit per channel. The optimization of cash management is an important step in centralizing cash planning in an institution and setting the basis for a shared services model in the midterm, thus generating greater savings. Given the poten-tial savings (15-40% of decreased invento-ry levels) with the CMO process, especially in the banking and retail sectors, organiza-tions have developed a keen interest in this process. The CMO Model can involve thousands of cash points with numerous and complex variables, such as location, seasonality, cost of cash, type of cash point, among others. This is why the optimization of this process through conventional tools is practically impossible.”