Artificial intelligence (AI) has become a revolutionary tool in the world of finance, specifically in strategic decision making and financial simulation. But how can AI transform sensitivity analysis in an athletic footwear company? Let's dive into the possibilities offered by AI-based tools such as ChatGPT, GPT Excel or Visual Basic for Excel, and how they can optimize our financial projections and processes in general.
AI in financial simulation: What are the benefits?
Artificial intelligence provides an environment where the projection of different financial scenarios becomes a more accessible and accurate task. Let's imagine that we are faced with a sensitivity analysis to evaluate the impact of a change in the production volume of sports shoes. With a current price per unit of $100, a standard unit cost of $80 and overhead of $100,000, reliable projections are needed to make informed decisions.
How can ChatGPT improve financial projections?
ChatGPT acts as an advanced modeling language that processes and analyzes data. It can create sensitivity tables that demonstrate the percentage and monetary benefit from changes in production volume, based on existing values and projecting the change in sales. While the current volume is 10,000 units, ChatGPT can help visualize the effect of sales from 8,000 to 12,000 units.
- Revenue calculation
- Sensitivity of results to volumetric changes
- Percentage and net profit
How to specify scenarios for simulation?
With ChatGPT, we can iterate variables under specific financial contexts, as in the case of the sports footwear exercise. We could ask you to include variations in production volume from -20% to +20%, in 5% increments, to better understand possible future scenarios.
- Iteration of variables
- Specification of percentage changes
- Evaluation of different outcome levels
What additional AI tools can be integrated into Excel?
It doesn't just stop at what an LLM can do directly. We can, for example, export to Excel and use additional tools such as GPT Excel and Visual Basic to expand our analysis capabilities.
How to calculate break-even points with artificial intelligence?
The break-even point is vital to understand at what point profit starts to be generated. Using GPT Excel, we can obtain formulas to calculate the break-even point in both units and revenue, adapting the complexity as needed.
- GPT Excel to generate formulas
- Calculation of break-even in units and in revenue
- Automation through excellent AI functions
Visual Basic and the automation of calculations in Excel
Visual Basic is used to create macros and automate processes. For example, we could ask a conversational AI system to generate code in Visual Basic to automatically calculate the break-even point, thus increasing efficiency.
- Automation of repetitive tasks in Excel
- Creating code for Visual Basic
- Increasing efficiency in data processing
Reflecting on artificial intelligence in finance
The integration of AI in finance does not replace our work, but rather enriches it. It allows us to focus on analysis and strategic decision making while delegating complex or repetitive calculations to machines, making our work faster and more detailed.
- Process improvement through AI
- Optimization of time and resources
- Focus on strategic decision making
The combination of ChatGPT, GPT Excel, Visual Basic and other plug-ins or tools, such as QuickBooks or NetSuite, amplifies the functionalities of what we already have and opens up a new universe of analytical possibilities. The key is how we leverage these technologies to achieve a deeper and more complete view of our financial environment. As we move forward, the excitement lies in discovering how far we can go in using the potential of artificial intelligence in the financial arena.
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