
Today, commodity prices affect virtually every industrial value chain. Steel, aluminum, plastics, and rare metals are subject to significant market fluctuations that can have a major impact on purchasing budgets, cost calculations, and margins. While many companies have historical price data, without structured analysis, key questions remain unanswered:
Which price trends are actually driven by market forces?
How can future price movements be predicted?
How do commodity prices affect product costs?
A raw material price analytics tool helps companies systematically analyze raw material prices, identify trends, and make informed decisions in procurement and financial management.
Global supply chains, geopolitical developments, and energy prices are causing commodity markets to become increasingly volatile. World Bank studies show that commodity prices can fluctuate by more than 20–40% within a few months, depending on demand, production capacity, and political conditions. This presents several challenges for companies:
Uncertainty in procurement strategy: Procurement teamsmust decide whether to secure materials early or procure them flexibly. Without reliable raw material price intelligence data, this decision remains speculative.
Lack of transparency in product costs: Controllers need accurate data on the proportion of total product costs accounted for by raw materials. Price changes can significantly impact margins.
Difficult price negotiations with suppliers: Suppliers often cite market prices. Without access to a raw material price intelligence database, it is difficult to verify these claims. A structured raw material price analytics software system provides the necessary transparency here.
Not every data source provides enough information to make informed decisions. A powerful Raw Material Price Analytics Platform combines multiple features and should definitely include the following core functions.
1. Access to comprehensive market data
A good raw material price analytics database provides historical and current price data from various markets. These include, for example: metals, energy, plastics, chemical raw materials, and agricultural commodities. This data forms the basis for well-founded analyses.
2. Analysis of price trends
A professional raw material price analysis tool enables the analysis of price trends over several years, seasonal patterns, market influences, and correlations between different commodities. Such analyses help companies better understand market movements.
3. Forecasting and Scenario Analysis
Advanced raw material price forecasting software goes a step further by enabling forecasts of future price trends. Typical features include trend analysis, forecasting models, and scenario analysis for price increases or decreases. These features are particularly relevant for long-term procurement strategies.
An international mechanical engineering manufacturer produces complex industrial systems for the automotive and energy sectors. Many of these products incorporate large quantities of aluminum and copper, for example in housings, cooling components, and electrical wiring. Both materials are raw materials with particularly volatile market prices, as they are heavily dependent on global production capacities, energy prices, and demand from various industries.
Over the course of several years, the company observed that rising material costs were putting increasing pressure on margins. At the same time, it became more difficult to justify price increases to customers or to realistically assess supplier prices. Although procurement teams had access to individual market reports, but there was no structured database to analyze price trends over the long term and make informed decisions.
The company therefore decided to professionalize its market analysis and introduce a systematic raw material price tracking tool. The goal was to continuously monitor raw material prices, evaluate historical trends, and base purchasing decisions more heavily on data-driven market analysis. Within a short time, several positive effects became apparent for both purchasing and controlling.
By systematically analyzing historical price series, the procurement team was able, for the first time, to gain a detailed understanding of how aluminum and copper prices had evolved over several years. The analysis revealed that certain suppliers’ prices were, in some cases, significantly higher than the current market index, and that price increases could not always be fully explained by market trends.
Using a raw material price benchmarking tools , market prices, supplier quotes, and historical price trends were compared. This transparency transformed the basis of many supplier negotiations. Procurement teams could now challenge price demands with objective market data and negotiate more realistic terms. At the same time, a better understanding emerged of which price movements were actually caused by global market mechanisms.
In addition to analyzing historical data, the forecast future price trends played an important role. The analysis of price cycles and market trends enabled the company to identify typical price patterns for certain raw materials. Aluminum, in particular, exhibited recurring phases of rising and falling prices linked to global production and demand cycles.
Based on these insights, the procurement team was able to align its purchasing strategies more closely with market trends. Material purchases were strategically timed to coincide with periods when price levels were historically lower. At the same time, the company was able to respond early to anticipated price increases and secure key materials in a timely manner. This strategic planning significantly reduced the risk of short-term price increases and ensured a more stable cost structure within production.
In the Controlling department as well, the new database led to significantly more accurate analyses. Controllers used a Raw Material Price Analytics Solution to link market prices directly to product cost calculations. This made it clear what proportion of the manufacturing costs of individual products was actually attributable to aluminum and copper prices.
In the past, such calculations often had to be based on simplified assumptions. With the help of structured market data, price trends could now be incorporated into cost models with much greater accuracy. This provided the company with a more realistic basis for budget planning, bid calculations, and long-term pricing strategies.
Overall, data-driven raw material analysis yielded several strategic advantages. Margins were stabilized, cost trends became easier to forecast, and procurement teams entered supplier negotiations with a significantly stronger information base. The systematic use of raw material data thus evolved from mere market monitoring into a key tool for strategic corporate management.
Many terms related to commodity analysis are often used interchangeably. In reality, they serve different functions. Companies benefit most when these functions are combined within an integrated platform.
Companies that wish to systematically analyze their raw material costs require reliable data sources and powerful analytical tools. costdata® is a full-service providerwith the world’s largest price and cost database. Using extensive data sets and specialized software solutions, cost structures, market prices, and product costs can be analyzed and simulated worldwide.
Several solutions help companies, on the one hand, to costdata® commodity price tracker. This solution enables precise raw material price tracking as well as the analysis of international market prices and indices. With the costdata® benchmark solution, companies can compare market prices and product costs and perform well-founded raw material price benchmarking. In addition, the costdata® calculation software links raw material data directly to product cost calculations and shows how price trends affect actual manufacturing costs. Furthermore, costdata® supports companies by providing comprehensive consulting services for the analysis of cost structures, supply chains, and procurement strategies.
Raw material prices are among the most significant factors influencing modern production costs. Companies that merely monitor market prices often react too late to changes. A structured raw material price analytics tool, on the other hand, enables companies to identify market movements early on, calculate costs, and make strategic purchasing decisions. Procurement teams thereby gain a stronger negotiating position. Controllers receive more precise data for budget planning and margin management. Those who analyze raw material markets using data-driven insights turn uncertainty into a strategic advantage.
More information:
For more information on raw material analysis, cost calculation, and benchmarking, please visit the costdata® website. A one-on-one consultation is often the quickest way to get the help you need. Please feel free to schedule an appointment to learn more about the capabilities of the database and software solutions.


