Market observation is the systematic collection, analysis and evaluation of market data on prices, suppliers, products and market trends. For purchasing, this enables well-founded procurement decisions and an optimal negotiating position thanks to up-to-date market knowledge.
Example: An automotive supplier carries out monthly analyses of steel prices at 5 main suppliers and, through systematic monitoring, recognizes a price increase of 15% within 3 months, enabling alternative sources of supply to be identified in good time and price negotiations to be initiated.
Market observation is a continuous process in which companies systematically collect and analyze information about relevant markets. It involves monitoring market trends, competitors, suppliers and technological developments. The main objective is to identify changes and opportunities in the market at an early stage in order to make informed strategic decisions and remain competitive.
Market observation is crucial in procurement management in order to make informed purchasing decisions and ensure security of supply. It enables buyers to predict price developments, identify alternative procurement sources and react quickly to changes in the market environment. Through targeted market analysis, companies can optimize costs, minimize risks and strengthen their negotiating position with suppliers.
The theoretical basis of market observation underlines its central role for strategic decisions in purchasing. In practice, it is crucial for identifying trends, analyzing competitors and anticipating risk management at an early stage. However, traditional methods are reaching their limits as they no longer do justice to the dynamic market conditions. A shift towards modern, data-driven approaches is therefore necessary in order to remain competitive.
Traditional approach: In conventional market observation, companies collected information manually through trade fair visits, trade journals and personal contacts. This data was recorded in simple tables and analyzed by employees. The process was time-consuming and prone to errors. In addition, the timeliness of the information was limited, which led to delays in decision-making. The lack of integration of data sources made it difficult to gain a comprehensive overview of the market and impaired the ability to react quickly to changes.
Predictive analytics: Modern companies rely on predictive analytics to make market observation more efficient and precise. This approach uses big data and AI in purchasing to analyze large volumes of data from various sources in real time. By using machine learning models, predictions can be made about price trends, supplier behavior and demand. This enables a proactive strategy in purchasing, reduces risks and increases competitiveness. The automation of data analyses leads to faster decision-making processes and greater responsiveness to market trends.
A large retailer implemented predictive analytics in its purchasing department to better anticipate market trends. By analyzing sales data, social media and external market data, the company was able to improve demand forecasting by 20%. This led to a reduction in inventories by 15% and an increase in delivery readiness to 98%. At the same time, bottlenecks were avoided and customer satisfaction increased. The data-driven market observation enabled the company to react more flexibly and efficiently to market changes.
Market observation is an indispensable strategic tool in modern purchasing. It not only enables the early identification of market opportunities and risks, but also forms the basis for well-founded procurement decisions. Success lies in systematic implementation, correct interpretation of the data and rapid implementation of the insights gained. With increasing digitalization and AI-supported tools, market observation is becoming even more efficient and precise, which can give companies a decisive competitive advantage.