CAPEX Optimization for Every Company: Decision Intelligence for All
Professional CAPEX optimization should not depend on the size of the company.
Whether a company needs to evaluate 20, 50, 100, or 300 investment projects—the fundamental management question remains the same:
Which combination of our investments generates the greatest economic benefit with the available capital?
This is exactly where our “Decision Intelligence for All” approach comes in.
With mAInthink’s Online Decision Service, we make mathematical decision intelligence available directly online via StratePlan.
Companies do not need to first implement a comprehensive PPM system, develop their own optimization model, or build a specialized development team.
They can use their existing investment data, optimize their investment portfolio, and mathematically compare different capital allocation options.
Table of Contents
- What Does CAPEX Optimization Mean?
- Why do CAPEX problems arise?
- Decision Intelligence for All
- CAPEX Optimization in the Online Decision Service
- 2^N: The Combinatorial Problem Behind CAPEX
- Mathematically Optimizing CAPEX Allocation
- Optimizing the Investment Portfolio
- Optimizing Capital Allocation
- Optimizing Investment Decisions
- Decision Intelligence Without Enterprise Barriers
What Does CAPEX Optimization Mean?
CAPEX optimization begins when a simple ranking of investment projects is no longer sufficient.
A company may have numerous economically viable projects but still lack sufficient capital to implement them all at once.
This creates an allocation problem.
Management must decide which combination of projects should be implemented within the available budget.
Factors such as investment amounts, expected economic benefits, resources, timeframes, dependencies, and other constraints can be taken into account.
The goal is not to find the best single project. The goal is to identify the best possible combination of projects.
Why Do CAPEX Problems Arise?
Many CAPEX problems do not arise from a lack of investment opportunities.
The opposite is often the case.
Companies have more viable investment projects than they have available capital.
New production facilities compete with automation projects. Digitalization competes with maintenance. Capacity expansions compete with energy efficiency, transformation, or new locations.
Each individual project may make economic sense.
The real challenge lies in selecting, from among all possible projects, those that collectively generate the greatest benefit.
This transforms CAPEX from a purely project-based evaluation into a portfolio decision.
Decision Intelligence for All
In our view, mathematical optimization of complex investment decisions should not be available exclusively to large corporations with substantial IT, data science, or consulting budgets.
The fundamental mathematical question is the same for a medium-sized company as it is for an international corporation:
How do we allocate limited capital to the right combination of investments?
That’s why we at mAInthink follow a simple principle:
Decision Intelligence for All.
Companies should be able to use mathematical decision intelligence without first having to develop the necessary technology themselves.
That’s exactly why we created the Online Decision Service.
CAPEX Optimization in the Online Decision Service
With the Online Decision Service, companies can use StratePlan directly to mathematically analyze investment portfolios and optimize their CAPEX allocation.
We’ve intentionally kept the onboarding process simple.
Up to 15 projects: free
Up to 50 projects: 500 euros per month
Up to 100 projects: 1,000 euros per month
Up to 300 projects: 3,000 euros per month
This makes mathematical CAPEX optimization available as a scalable online service.
Companies can decide for themselves whether they want to use StratePlan independently or take advantage of additional support as part of a “done-for-you” service.
Building your own optimization model or a specialized development team is not required to get started.
2^N: The combinatorial problem behind CAPEX
Why is mathematical optimization relevant at all for larger investment portfolios?
The reason lies in the number of possible combinations.
With N projects, there are theoretically up to:
2^N possible project combinations.
With 20 projects, that’s already more than a million possible combinations.
With 50 projects, there are more than a quadrillion.
As the number of projects increases, the scope for decision-making grows exponentially.
People are excellent at evaluating projects, defining strategic requirements, and establishing framework conditions.
However, systematically calculating such a large combinatorial decision space is a mathematical task.
This is exactly where StratePlan comes in.
Mathematically Optimizing CAPEX Allocation
CAPEX allocation involves distributing available investment capital across different projects.
Traditional prioritization can provide important insights.
However, it does not necessarily answer the question of which combination produces the better overall result.
For example, a single project may have an excellent business case.
Nevertheless, several smaller projects can generate a higher economic contribution with the same amount of capital.
That is why StratePlan does not focus exclusively on individual projects, but rather on their possible combinations within the defined conditions.
Prioritization focuses on the order. Optimization focuses on the combination.
Optimizing the Investment Portfolio
Anyone who wants to optimize an investment portfolio must view the portfolio as a cohesive system.
Projects may be interdependent.
Certain investments may be absolutely necessary.
Other projects may be mutually exclusive.
Resources may be limited.
Strategic guidelines may require that certain business units, locations, or project types be taken into account.
This creates a decision space with various permissible project combinations.
StratePlan calculates various portfolio options within these constraints and identifies the combination that best meets the defined objective.
It’s not just the project that’s optimized—it’s the portfolio.
Optimizing Capital Allocation
Optimizing capital allocation does not automatically mean deploying more capital.
Especially with limited investment budgets, the combination of selected projects can make a significant difference.
Suppose a company has 100 million euros in CAPEX available.
The key question is not just:
“Which projects can we finance with 100 million euros?”
But rather:
“Which permissible combination of our projects generates the greatest possible economic benefit with these 100 million euros?”
That is precisely the difference between budget allocation and optimal capital allocation.
The budget remains the same.
The combination changes.
And the economic outcome can also change depending on the combination.
Optimizing Investment Decisions
StratePlan is not intended to replace existing ERP, finance, or PPM systems.
These systems provide data, document processes, and manage projects.
StratePlan operates at the decision-making level.
The input data can be very minimal:
Project ID → Investment (Expenditures) → Economic Benefit (Revenues)
Depending on the decision-making problem, additional information can be added:
Budget constraints
Resources
Project dependencies
Time frames
Locations
Business Units
Strategic Criteria
This information yields a mathematically calculable decision space.
This enables companies to optimize their investment decisions and compare different portfolio options based on the same data and constraints.
Decision Intelligence Without the Enterprise Hurdle
In our view, CAPEX optimization doesn’t have to be a months-long enterprise-wide project.
Existing data can still come from ERP, finance, PPM, Excel, or database structures.
The crucial additional layer is the mathematical calculation of decision options.
That is precisely why we developed StratePlan as a lean, decision-oriented optimization platform.
From medium-sized companies to international corporations.
From 15 projects to complex investment portfolios.
From the first online model to live simulations of CAPEX decisions in the boardroom.
Our goal is not to make decision intelligence more complex.
Our goal is to make access to decision intelligence easier.
Decision Intelligence for All.
Same projects. Same budget. Better combination. Better result.
Don’t take our word for it. Do the math.
