"We achieve a forecast accuracy of 97 to 99 percent"
Christian Jabs, CEO of thyssenkrupp subsidiary pacemaker.ai, explains the opportunities of AI-powered commodity price forecasting in an interview with Handelsblatt.
Our AI-based platform provides you with precise forecasts for all relevant areas directly into your target system.


With our five powerful supply chain optimization products, we offer you tailor-made solutions to make your business processes more efficient and future-proof. Our AI-supported tools help you to perfect inventory planning and control, avoid overstocking, prevent supply bottlenecks and reduce capital commitment costs. From precise demand forecasts and optimized warehousing to strategic raw materials planning, we can help you take your supply chain to the next level.
Let's talk about your individual case. Book a free initial consultation.
Put an end to inaccurate, time-consuming Excel forecasts! Gain certainty in uncertain markets. Work closely with us to unleash the potential of your data.
Our demand forecasting uses historical sales data, factors from external influences and predicts future demand so that you can make better data-driven decisions along your supply chain.


A forward-looking procurement strategy reduces costs and increases planning reliability. We have developed our Commodity Price Forecasting for this purpose: It shows optimal purchasing times, exploits market opportunities and enables early hedging - for example by fixing purchase prices or using suitable financial instruments to reduce fluctuations in value.
An optimal inventory strategy means less tied up capital and more flexibility. Our accurate forecasts enable reliable reconciliation of inventory and demand so that you can deliver at any time without maintaining unnecessary inventory.

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An efficient sales and operating strategy includes avoiding excess and shortages, as well as better risk assessment. Our demand forecasting product can help you with this strategy and thus create a common data basis for all departments.
Net working capital (net working capital) is a key factor for a company's financial health. It describes the difference between current assets (receivables, inventories, liquid assets) and short-term liabilities (supplier loans, short-term loans).

Christian Jabs, CEO of thyssenkrupp subsidiary pacemaker.ai, explains the opportunities of AI-powered commodity price forecasting in an interview with Handelsblatt.
During the initial consultation, we evaluate your project goals and offer you tailor-made support. From specific ideas to complex consulting via demand forecasting and carbon intelligence — use our pacemaker.ai for maximum business success!