УДК 338.984
Mussin Zhanat
Sierra States University (Los Angeles, USA)
STRATEGIC FINANCIAL CONSULTING IN THE TRANSPORTATION INDUSTRY: METHODS
FOR ENHANCING RESILIENCE AND COMPANY GROWTH
Abstract: the article discusses innovative strategies in financial consulting within the transportation sector, focusing on enhancing resilience and fostering growth. It explores various approaches such as financial modeling, risk management, and technological innovation. The article emphasizes the importance of strategic investments and partnerships in overcoming industry challenges and seizing market opportunities, leading to sustained growth and market leadership.
Keywords: strategic financial consulting, transportation industry, resilience, company growth, innovation, market leadership.
Introduction
At present, there is intense technological development in the transportation industry. Unique challenges and opportunities in this field require innovative and adaptive business strategies. For example, according to J.D. Power, in 2023 Tesla not only increased global vehicle deliveries by 20% but also launched new innovative models. As per a report by the international consulting firm McKinsey & Company, this production expansion was accompanied by strategic investments in sustainable battery technologies, leading to a 15% increase in battery efficiency and a 25% expansion of the global network of supercharging stations [1].
This article explores the possibilities of strategic financial consulting to enhance the resilience and development of companies in the transportation sector. The study analyzes current trends in the transportation industry and case studies and
examines instances of successful strategy implementation in the transportation industry.
Main part
Strategic financial consulting is an advisory service focused on optimizing a company's financial performance and strategic positioning. It involves deep analysis of financial statements, market trends, and business models to identify areas for improvement and growth. Key principles include risk assessment, financial forecasting, investment analysis, and value maximization. This approach integrates quantitative financial analysis with qualitative business insights, ensuring that financial decisions align with the company's long-term strategic objectives.
At its core, strategic financial consulting relies on a comprehensive understanding of financial metrics such as cash flow analysis, return on investment (ROI), and cost-benefit analysis. These metrics are crucial in evaluating the financial health and potential of a business. Strategic financial consulting professionals employ a range of advanced financial modeling methods to simulate various business scenarios. Some of the key techniques include:
Discounted cash flow (DCF) analysis. This method assesses the present value of a company's future cash flows by discounting them to the present time. DCF analysis helps determine investment attractiveness, company valuation, and potential project returns (fig 1).
CF1 CF2 CFn
DCF = DCF = -—^r + -—+
\n
(1 + r)1 (1 + r)2 (1 + r)1 where CFi - the cash flow year one, CF2 - the cash flow year two, CFn - the cash flow additional years, r - the discount rate.
In 2022 company Cisco Systems forecasted a 10% annual revenue increase from the launch of a new product over the next five years [2]. The net cash flows from this product were expected to be one million dollars in the first year, with a 10% increase each following year. Using the DCF model, they discounted these future cash flows at an 8% rate to determine their present value. The results showed that the present value of the future cash flows from the new product significantly exceeded
the initial investment, indicating that the project was a worthwhile investment. This example demonstrated how DCF analysis helps companies assess the profitability of investments and make informed financial decisions.
Scenario analysis. This approach models different future scenarios, including optimistic, pessimistic, and most likely one. Scenario analysis aids companies in understanding the possible range of outcomes and preparing for various market conditions (fig. 1).
Fig. 1. Scenario analysis model.
Corporation Adobe Systems In 2021 year, utilized scenario analysis prior to the launch of a new software product [3]. By preparing for different scenarios, Adobe Systems was able to quickly adapt to market changes. When the actual market conditions aligned more closely with the most likely scenario, the company was well-prepared, achieving a revenue close to their projection at 3,2 million dollars in the first year and successfully increasing their market share by 9%. This strategic flexibility also positioned them to capitalize on unexpected opportunities, leading to better financial stability and growth prospects.
Sensitivity modeling. This method evaluates how changes in key variables (such as commodity prices, interest rates, exchange rates) can impact a company's financial indicators. It helps identify potential risks and opportunities for the business (fig. 2).
Sensitivity Analysis
Initial Triage Identification of Inputs for Further Analysis Local Sensitivity Analysis
Sclcct Base Cases J Special Input П Consideration — Varying Each - Comparing Outputs by - Sensitivity Metrie s
Evaluate and Rank the Input Dala
Fig. 2. Sensitivity analysis model.
In period 2022-2023, Tesla faced various market challenges, including volatile raw material costs and changing global economic conditions. In their analysis, Tesla focused on the price sensitivity of lithium, a critical component in their battery production [4, 5, 6]. They projected that a 10% increase in lithium prices could potentially raise their production costs by 5%, which in turn might reduce their gross margin from 20% to 18%. Similarly, they assessed the impact of currency exchange rates, estimating that a 5% strengthening of the dollar against the euro could decrease their European revenue by approximately 3%, assuming other factors remained constant. Tesla's use of sensitivity modeling not only fortified their risk management but also enabled them to seize market opportunities.
Monte Carlo simulation. A stochastic method that uses randomness to model various outcomes based on probability distributions. Monte Carlo simulation is particularly useful for assessing risk and uncertainty in complex financial and business models (fig. 3).
initialize simulation process: NUMBER_OF_ITERATION5- 10,000 NUMBER_OF_AGE_GROUPS = MAX_AGE_G ROUPS
~ J = 1; I = 1
I
Generate sample:
Draw a sample of random variates for end point epj with mean-muj, standard deviation-sdj and sample size=s, j = j+l
Estimate parameters:
Regress endpoint ep on age and obtain linear estimates of age and standard error of age
I = I +1; I = 1
Fig. 3. Monte Carlo simulation model.
Amazon utilized Monte Carlo Simulation in 2023 year to forecast its revenue growth and customer demand under various market conditions [6]. The simulation ran thousands of iterations, each generating a different potential outcome. This process enabled Amazon to visualize a spectrum of scenarios for revenue growth. For instance, the simulation indicated that there was a 70% probability that their annual revenue growth would fall between 10% and 15%. However, it also showed a 20% chance of growth exceeding 15%, and a 10% likelihood of it being under 10%. It allowed them to identify the most probable outcomes and also to prepare for less likely, yet possible, scenarios.
Break-even analysis. This technique determines the level of sales or production volume at which a company covers its fixed and variable costs, achieving break-even. It is important for understanding the minimum revenue targets necessary (fig. 4).
Fig. 4. Break-even analysis model.
In 2022, company Samsung Electronics Co utilized break-even analysis for the launch of their new smartphone [7]. Samsung began by calculating the fixed costs associated with the launch, which included significant expenses such as 200 million dollars in research and development, 150 million dollars in manufacturing setup, and 100 million dollars in marketing. The variable costs were estimated at 200 dollars per unit, covering materials, labor, and other costs varying with production. With the new smartphone's projected selling price set at 500 dollars per unit, Samsung conducted a break-even analysis. The calculation showed that selling 900,000 units would cover all their fixed and variable costs. Knowing the break-even point enabled Samsung to set clear sales targets. It informed their marketing strategies, aiming to create sufficient demand to sell at least 900,000 units.
Regulatory Change Impact Modeling. It focuses on understanding how new regulations, like environmental standards, can affect a company's costs, revenues, and overall strategic positioning. This approach is particularly relevant for industries facing significant regulatory shifts (fig. 5).
Fig. 5. Regulatory change impact modeling process.
BMW utilized Regulatory Change Impact Modeling to evaluate the financial consequences of adhering to these new standards [8]. The analysis estimated that implementing the necessary changes to meet the new emission standards would result in an initial increase in production costs by about 20%, translating to an additional expenditure of around 500 million dollars. Moreover, the model projected a potential increase in revenue by 8% over the next five years, as consumer preference shifted towards eco-friendly vehicles. This was expected to result in an additional revenue of approximately 800 million dollars, driven by higher sales volumes and the ability to command premium pricing for sustainable vehicles. Armed with this information, BMW offset the increased costs.
Strategic financial consulting holds critical importance in the transportation industry, characterized by high capital expenditures and rapidly changing market dynamics.
Methods for enhancing resilience. In the transportation industry, where companies face dynamic challenges, adaptive strategies play a key role in ensuring sustainable growth. The following analysis presents key methods and real-world examples that demonstrate how strategic financial management contributes to enhancing resilience in this constantly evolving sector.
The data presented in table 1 demonstrate the effectiveness of various growth strategies in the transportation industry and demonstrate, how different companies
have navigated certain challenges, achieving significant market growth and innovations.
Table 1. Analysis of growth strategies in the Transportation industry [9].
Used Strategy Company Results Achieved Challenges Faced
Expansion and Diversification Emirates Airlines 8% market share growth Geopolitical tensions, Competition
Strategic Partnerships and Mergers Boeing and Porsche Development of electric flying vehicles Technical and regulatory challenges
Investments in Sustainability Tesla 45% increase in annual revenue Supply chain and production scalability
Expansion and Diversification Hyundai 15% increase in new segment revenues Diversifying from core business
Strategic Partnerships and Mergers Boeing and Airbus Innovative aerospace solutions R&D costs, Regulatory compliance
The analysis of table 1 underscores a crucial aspect of strategic development in the transportation industry: the ability to implement targeted growth strategies is intimately linked with navigating industry-specific challenges. While each company's approach varied, the overarching theme is that adapting to and overcoming these challenges is not just a reactionary measure, but a proactive step towards achieving substantial market presence and innovation. This holistic view, considering both the strategies and the hurdles, is essential for understanding the multifaceted nature of growth in this dynamic sector.
Conclusion
The analysis of strategic financial consulting in the transportation industry underscores its pivotal role in enhancing resilience and driving growth. The case studies of Adobe Systems, Amazon, Samsung Electronics Co, and Tesla reveal that targeted financial strategies, ranging from investment attraction to digital transformation, are critical for navigating industry challenges and capitalizing on market opportunities. These strategies not only address immediate financial needs but also lay the groundwork for long-term innovation and market leadership.
REFERENCES:
1. A. Pal, A. Bhattacharya and A. K. Chakraborty, "Planning of EV Charging Station With Distribution Network Expansion Considering Traffic Congestion and Uncertainties," in IETransactions on Industry Applications, vol. 59, no. 3, pp. 3810-3825, May-June 2023, doi: 10.1109/TIA.2023.3237650;
2. Acciarini, C., Boccardelli, P., & Vitale, M. (2021). Resilient companies in the time of Covid-19 pandemic: a case study approach. Journal of Entrepreneurship and Public Policy, 10(3), 336-351;
3. Tonn, G., Czajkowski, J., Kunreuther, H., Angotti, K., & Gelman, K. (2020). Measuring transportation infrastructure resilience: Case study with Amtrak. Journal of Infrastructure Systems, 26(1), 05020001;
4. Abdullina L, Bobovnikova A, Zrazhevskiy A. Esg-factors and csr-strategy impact on the investment attractiveness of usa companies. InProceedings of the XLIII International Multidisciplinary Conference «Recent Scientific Investigation». Primedia E-launch LLC. Shawnee, USA 2023;
5. Козлова М.Д. СТРАТЕГИИ УСПЕШНОГО ВХОДА МЕДТЕХ ПРОДУКТОВ НА НОВЫЕ РЫНКИ - УНИВЕРСАЛЬНЫЕ ПОДХОДЫ И КЕЙС -С ТАДИ//В естник науки: №1 (70) том 4. С. 22 - 29. 2024 г.;
6. Логистическая система России в условиях санкций: перспективы развития до 2030 года / А. Р. Никулин, А. С. Лебедев, Л. Н. Голева [и др.] // Конкурентоспособность в глобальном мире: экономика, наука, технологии. - 2023. - № 7. - С. 204-209. - EDN OTSBIJ;
7. Tonn, G., Reilly, A., Czajkowski, J., Ghaedi, H., & Kunreuther, H. (2021). US transportation infrastructure resilience: Influences of insurance, incentives, and public assistance. Transport Policy, 100, 108-119;
8. Yurii, D., Nataliia, T., Olena, S., Yelyzaveta, S., & Ganna, B. (2021). Standardization of business processes in the transportation sector. Open Journal of Business and Management, 9(5), 2312-2328;
9. Bathke, H., Münch, C., von der Gracht, H. A., & Hartmann, E. (2022). Building resilience through foresight: The case of maritime container shipping firms. IETransactions on Engineering Management