A cost-benefit analysis is a systematic evaluation method that compares all monetary and non-monetary advantages and disadvantages of an investment or decision. In purchasing, it provides a sound basis for making decisions on procurement alternatives and helps to select the most economically viable option.
Example: When evaluating two suppliers for a CNC machine, maintenance costs, energy consumption, productivity and training costs over 5 years are compared in addition to the acquisition costs (€150,000 vs. €180,000), whereby the more expensive supplier proves to be the more economical option with a total saving of €45,000 despite higher initial costs.
The cost-benefit analysis is an instrument for the systematic evaluation of investment decisions, projects or procurement measures. It compares the financial expenditure (costs) with the expected benefits (advantages) in order to determine the economic efficiency of an action. By quantifying costs and benefits, it enables well-founded decisions to be made and contributes to the optimal use of resources.
In the procurement process, cost-benefit analysis is a key tool for evaluating the profitability of purchasing decisions. It helps buyers to compare offers, justify investments and make strategic procurement decisions. By taking into account all relevant costs and benefits, hidden expenditure can be identified and long-term savings potential realized.
Cost-benefit analysis forms a crucial basis for well-founded decisions in purchasing controlling. While it was traditionally based on manual calculations and simple evaluation procedures, the increasing complexity of markets and data volumes requires a modernized approach. The implementation of advanced data analysis technologies enables companies to gain more detailed insights and react more quickly to changes.
Traditional approach: In the past, cost-benefit analysis was often carried out manually. Buyers collected data from various sources and created extensive spreadsheets to weigh the costs and benefits. This method was time-consuming and prone to human error. In addition, the analyses were often static and could not adequately take dynamic market analysis into account. Limited amounts of data led to simplified assumptions, which impaired the accuracy of the results and made strategic decisions more difficult.
Data analytics: The modern approach uses advanced data analytics to increase the efficiency and accuracy of the cost-benefit analysis. By using big data technologies and AI in procurement, large volumes of data can be processed in real time. Algorithms analyze complex correlations and provide precise forecasts. This makes it possible to incorporate dynamic market conditions and variable cost factors into the analysis. Practical benefits include faster decision-making, reduced risk management and the identification of additional savings potential.
Muster AG, a leading mechanical engineering company, was faced with the challenge of optimizing its procurement processes. By implementing data analytics in purchasing, they were able to automate and refine their cost-benefit analyses. Within a year, the company achieved cost savings of 20% in the procurement budget. The analysis time was reduced from two weeks to just a few hours. In addition, thanks to precise forecasts, better conditions were negotiated with suppliers and risks in the supply chain were identified at an early stage.
Cost-benefit analysis is an indispensable tool for strategic procurement decisions. By systematically evaluating costs and benefits, it enables well-founded investment decisions and optimal resource allocation. Despite challenges in quantifying qualitative benefits, it offers a solid basis for future-oriented purchasing processes, especially in combination with digital technologies. Success lies in precise data collection and the consideration of long-term effects.