pacemaker.ai delivers accurate demand forecasts and turns them into ordering and inventory decisions that land directly in your ERP system.

Our products connect at multiple points in the planning process and work on the same database. This allows them to complement each other across the entire S&OP process. Discover how our products specifically support your S&OP planning in each area.
The foundation is what you already have: sales and inventory history from your ERP, master data, supplier data, and the knowledge of your planners. Your data is then enriched with external factors relevant to your business model.
Machine learning models generate accurate sales forecasts at item level. The modular design allows the model to be adapted to various use cases with minimal effort. The model learns from every new data point.
The forecast becomes a concrete ordering decision. The system plans each item individually and learns lead times from your order history. Alerts show where action is needed and which items require your attention.
Strategic procurement requires another type of forecast: the raw material price forecast. These forecasts help you optimize purchasing timing and increase planning reliability amid changing market conditions.
Forecasts, order recommendations, and alerts are fed back via APIs to where your team works anyway. The review cycle is embedded in your S&OP process and keeps every planning status up to date, regardless of whenever the next planning run is scheduled.
Sales forecasts at item-level based on your sales data, your expert knowledge, and external factors.
Order recommendations by item and location, recalculated daily, including dynamic delivery times.
Raw material price forecasts for optimal purchasing times and greater planning certainty.
How other teams use our software to improve their supply chains.
We use the data you already have and build on your existing system landscape. That keeps implementation lean and the effort low.
Together with your planners, we look at your process structure, the data you have, and the external factors that matter to your business. The result is a reliable assessment.
We train the models on your historical data and compare the results with your previous planning. That way, you see the difference across your own product portfolio before the forecasts go live.
Forecasts and recommendations run automatically and flow back into your target system. The review cycle is embedded in your S&OP process and keeps your planning continuously up to date.
pacemaker.ai complements your existing landscape rather than replacing it. Forecasts, order proposals, and alerts are fed back into your ERP or inventory management system through interfaces.
No need for your own infrastructure. Guided onboarding and ongoing updates included.
Connection to ERP and inventory management systems during ongoing operations.
Audited standards for
information security and
the protection of sensitive data.
Supply chain optimization means not only making planning more efficient, but also operating in a more sustainable manner. With our Sustainability Management Platform, you can achieve the transparency regarding your emissions that is necessary to reduce them over the long term.
The Sustainability Management Platform (SMP), is a modular cloud platform for sustainability data. All modules can be combined and connected to ensure seamless integration within your ecosystem.
You capture and calculate your transport emissions, compare carriers, and transparently document savings from sustainable fuels.
You capture emissions at the corporate and product level, set climate targets, and track your progress.
You bring your sustainability data together centrally and prepare it in a structured way for reporting and assurance.
Capture, calculate, and evaluate emissions, then turn the results into concrete measures. This creates a continuous process that makes progress measurable and shows the next steps.
Our certifications confirm that you can rely on the results our platform delivers.
This international standard establishes the foundation for the secure handling of sensitive corporate data.
This international standard ensures reliable processes and continuous quality management.
The standards ensure a consistent and comparable calculation of transportation emissions.
The international standard specifies how the carbon footprint of products is calculated.
The framework governs the allocation and accounting of emission reductions in the transportation sector.
This internationally recognized standard serves as the basis for reporting corporate emissions.
In 30 minutes, we'll answer your questions and review your use case together.
Still have questions? Get in touch!
pacemaker.ai develops AI software for industrial supply chains. Under Supply Chain Efficiency, we create accurate demand forecasts and turn them into ordering and inventory decisions that land directly in your ERP system. The available products are Demand Forecasting, Replenishment Decision Intelligence, and Commodity Price Forecasting. The Sustainability Management Platform provides the emissions transparency you need to reduce them over the long term. It covers transport emissions, corporate and product carbon footprint, as well as CSRD and EU Taxonomy.
The pacemaker project started in Lisbon in 2021. In 2022, it became a separate subsidiary. Today, pacemaker.ai is a company of tk accelis Supply Chain Solutions. We come from industry, and so does our software.
No. You decide which products you use and in what order. Our products connect at different points in the planning process and work on the same data basis. They complement each other across the entire S&OP process, but they also work on their own. The same applies to the modules of the Sustainability Management Platform, which can be freely combined and connected with each other.
You go live in weeks, not months. That is possible because we use the data you already have and build on your existing system landscape. The foundation is what you already have: sales and inventory history from your ERP, master data, supplier data, and the knowledge of your planners. That keeps implementation lean and the effort low. In the Data Thinking Workshop, we review the use case and your data situation. During onboarding, we train the models on your historical data and compare the results with your previous planning. Only then do forecasts and recommendations move into regular operation.
Yes. pacemaker.ai complements your existing landscape rather than replacing it. Forecasts, order proposals, and alerts are fed back into your ERP or inventory management system through interfaces, including during ongoing operations. The platform runs as software as a service, so no dedicated infrastructure is required.
Your supply and business data are protected in line with ISO 27001, the leading international standard for information security management. For collaboration in the automotive industry, a TISAX assessment is also in place, and our quality management is certified to ISO 9001. All certifications are audited annually by accredited external certification bodies. Processing takes place exclusively in the EU and the EEA, customer data is logically separated by tenant and is not used to train AI models. Certificates, the TOM catalog, and a sample data processing agreement are available in the Trust Center.
In 30 minutes, we talk through your requirements and look at how we can support your planning.