The pacemaker.ai team works passionately every day to help companies optimize their supply chains with AI-based demand forecasting and product carbon intelligence solutions – from demand forecasts to data-driven decision-making.
The pacemaker.ai team works passionately every day to help companies optimize their supply chains with AI-based demand forecasting and product carbon intelligence solutions – from demand forecasts to data-driven decision-making.
The pacemaker.ai team works passionately every day to help companies optimize their supply chains with AI-based demand forecasting and product carbon intelligence solutions – from demand forecasts to data-driven decision-making.
The pacemaker.ai team works passionately every day to help companies optimize their supply chains with AI-based demand forecasting and product carbon intelligence solutions – from demand forecasts to data-driven decision-making.
Complexity is the key issue here. External factors such as wars, pandemics and natural disasters have made supply chains significantly more difficult to predict. Conventional planning calculations, usually based on simple correlations in Excel, have simply reached their limits and can no longer deliver valid results or reliable forecasts. This is where artificial intelligence can play to its strengths.
With the help of machine learning technology, we identify patterns in historical data, enrich them with relevant influencing factors and project them into the future. By combining internal company metrics with external data such as oil prices, weather data and exchange rates, we can generate reliable forecasts with an incredibly high level of accuracy. These calculations provide our customers with forecasts that are 20–30% more accurate, allowing them to manage their business more effectively.
But what exactly is required to predict how many products will be sold in 18 months’ time? Less than potential customers often expect, says Christian Jabs. Many are genuinely surprised by the minimal amount of data artificial intelligence needs to optimize a supply chain. “All it takes is to export a small number of data series from the customer’s ERP system – whether that is SAP or even Excel. With just three columns – date, product name and product quantity – our demand forecasting tool can already provide valuable initial insights that enable more efficient inventory planning.”
With pacemaker.ai, tk accelis uses artificial intelligence and data-driven planning to optimize production and supply chain processes.
Alongside efficient inventory management, workforce planning also plays a crucial role in reducing costs. Reliable forecasts generated by AI technology make it possible to anticipate peaks in demand well in advance, meaning skilled workers do not have to be brought in at short notice and at a higher cost than necessary, explains the expert. The advantages of artificial intelligence are therefore clear. Nevertheless, many potential customers are still hesitant because of the previously mentioned, albeit unfounded, skepticism toward new technologies. Change management is the key to success here and forms part of the pacemaker.ai team’s daily work.
The intelligent software is now supported by a team of more than 60 people. The AI technologies currently offered include demand forecasting and product carbon intelligence. “With demand forecasting, we provide our customers with precise sales forecasts that enable them to improve their planning, reduce unnecessary inventory and significantly lower costs,” explains Christian Jabs, Managing Director of pacemaker.ai. “By analyzing complex data sets, product carbon intelligence determines the individual CO₂ footprint of a product. This provides a sound basis for making informed decisions on the implementation of sustainability strategies.” And with great success: pacemaker.ai is used worldwide and has become an integral part of tk accelis’ digitalization strategy.
Today, Jabs and his team can already use Artificial Intelligence to make a wide range of reliable predictions. How the technology will develop over the coming years, however, will depend largely on external factors such as legislation and regulation. Jabs looks to the future with optimism: “Technology has always been, is and will remain Germany’s most important resource.” The challenges associated with the green transformation of industry are also closely linked to the development of innovative solutions such as pacemaker.ai’s product carbon intelligence.
This is why the pacemaker.ai team has set itself ambitious goals. “In the long term, we want to become the global market leader for industrial AI applications. The foundation for this is the combination of cutting-edge technology and industrial expertise. I firmly believe in this vision, and I believe we are already on the right path toward achieving it.”
Learn more about our segment