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Calculating ROI with algorithms - The future of investment calculation with StratePlan
Introduction
The return on investment (ROI) has been one of the most important key figures in corporate management for decades Corporate management. It shows how efficiently a company uses capital and how worthwhile investments are actually worthwhile. However, while classic ROI formulas and And investment calculations often remain static and inflexible, modern technologies - especially especially artificial intelligence - open up completely new possibilities.
With StratePlan™, an algorithm-supported tool for strategic planning and simulation Simulation, it is possible to calculate ROI with AI, realistically simulate projects simulate projects realistically and get the greatest possible return on every euro invested. This article shows why traditional methods are reaching their limits, how ROI simulations Help companies and why algorithm-based systems such as StratePlan™ are the future of Investment calculation.
ROI calculation - the basics
ROI means "return on investment" and describes the relationship between profit and Investment. The classic formula is
ROI = profit / investment × 100
An example: If a company invests 100,000 euros and makes a profit of 150,000 euros, the ROI is 150 %.
This classic ROI calculation is simple, but it has its weaknesses: it does not take into account risks and interactions between projects. It is a snapshot - and this is exactly where StratePlan™ comes in.
ROI investment calculation - opportunities and weaknesses
The ROI investment calculation includes methods such as net present value, amortization calculation or internal rate of return. These methods are established and provide valuable key figures. However, they often work with fixed assumptions and neglect uncertainties.
A real-life example: a company is planning three projects - new software, a marketing Marketing campaign and an international expansion. Traditionally, these are calculated in isolation. But the reality is complex: the software speeds up processes, the campaign increases sales and the expansion depends Sales, and the expansion depends on the success of the first two projects.
Only with algo-based simulations can these interactions really be depicted. This is exactly where StratePlan™ scores.
Calculating ROI with algorithms - the paradigm shift
The next logical step is to calculate ROI with algorithms. Instead of manually manually and maintaining it in tables, StratePlan™ takes over the analysis.
Advantages:
- Automated data integration from ERP, CRM or BI systems
- Consideration of external factors such as market trends, the economy or regulatory changes
- Calculation of entire project portfolios rather than individual projects
ROI is no longer seen as a static figure, but as a dynamic key figure, that changes depending on the scenario.
StratePlan calculates the entire decision spaceand finds from it:
The one project combination that generates the maximum overall benefit.
ROI simulation - from forecast to reality test
A classic ROI simulation often only calculates with a "best case" and a "worst case". With StratePlan™, hundreds of scenarios are automatically simulated.
Advantages:
- Realistic forecasts through machine learning
- Risk analysis - which investment is stable, which is uncertain?
- Scenario comparisons - how does a market change affect the ROI?
This gives companies a much clearer picture and allows them to manage investments in a targeted manner.
Project ROI simulation - focus on the essentials. The global optimum
A project ROI simulation is particularly worthwhile for individual projects. StratePlan™ shows:
- Which project delivers the highest return in the short term
- Where synergies arise in the long term
- Which investments entail high risks
Example: A company is planning three digitalization projects. With a project ROI simulation it recognizes that project A brings immediate efficiency gains, project B has a delayed effect and Project C has high uncertainties.
In this way, resources are allocated in a targeted manner - and the result is a significantly higher overall ROI. But what happens when a company has 15-30 or even 50 projects? Then the decision space increases to 2N:
Algorithmic ROI optimization - data-driven strategy
Algo-ROI optimization is the decisive advantage over classic approaches Approaches:
- Decisions are not reviewed once, but continuously
- Strategies adapt dynamically to new framework conditions
- Companies react more quickly to risks and opportunities
This results in a permanently optimized ROI.
Strategic planning with algorithms
ROI calculation is not an end in itself. It must be embedded in the strategic planning of a company be embedded. StratePlan™ combines ROI analyses with strategic budget allocation.
- Investments are evaluated in the context of the overall strategy
- The algorithm suggests optimal budget allocations
- Algorithmic intelligence replaces gut feeling with data-based decisions
ROI optimization tool - why StratePlan™ is unique
There are many tools and Excel templates that serve as "ROI calculators". But StratePlan™ goes much further:
- Algo-supported simulations
- Dynamic adjustments in real time
- Seamless integration into existing systems
A classic ROI optimization tool shows numbers. StratePlan™ shows options for action.
Business intelligence ROI - smart use of data
Companies invest in BI systems to collect and visualize data. But often it remains with reporting. With StratePlan™, business intelligence ROI becomes a reality:
- Data is not only displayed, but also evaluated
- BI information is turned into concrete recommendations for action
- The benefits of BI investments become transparently measurable
StratePlan™ bridges the gap between reporting and value creation
ROI forecasting with algorithms - looking to the future
Planning reliability is crucial. With ROI forecasting using algorithms companies can realistically calculate various future scenarios.
- How does a recession affect ROI?
- How do rising energy or raw material costs change the ROI?
- Which investments remain stable even in the event of market fluctuations?
This gives companies a clear strategic advantage.
Dr. Igor Kadoshchuk is a computer scientist, algorithm architect, and one of the leading minds behind mAInthink's optimization and decision-making algorithms. As scientific director of the StratePlan™ and DeepAnT platforms, he combines in-depth mathematical research with practical applications in project portfolio optimization, business, finance, and public administration.
He holds a PhD in computer science from the renowned Moscow Institute of Physics and Technology (MIPT), where he also taught as a professor of computer engineering and mathematics. He has decades of experience developing highly complex mathematical models for project portfolio optimization and financial systems, investment planning, and strategic decision-making. His professional career includes leading positions such as Head of IT at Gazprombank and Director of Project Management at TransTeleCom.
Dr. Kadoshchuk writes on the mAInthink AI Blog. Kadoshchuk on:
- Algorithmic strategy optimization
- New methods for calculating ROI and impact
- Project portfolio optimization beyond traditional tools
- The limits of human decision-making – and how AI overcomes them
His aim: to calculate strategy, not estimate it.
His contributions combine scientific precision with clear, understandable language – always with the goal of making complex decision-making spaces transparent, manageable, and measurable.