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We are excited to introduce an exciting new feature: "Insights" – a set of widgets that allow you to analyze your forecast and actual data at a glance. These widgets are designed to seamlessly integrate into your existing planning and analysis processes, helping you make data-driven decisions even more easily and efficiently.

Welcome to our new series “Employee Spotlight”! Today we would like to introduce you to Thomas, one of our talented software engineers at pacemaker.ai. In this interview, Thomas gives us exciting insights into his background, work experiences and his view of the corporate culture at pacemaker.ai. For those of you who are considering joining our team, this conversation is a great opportunity to get to know one of our colleagues better and learn more about our company's values and working methods. Let's find out more about the people behind our success.

Discover why terms like CBAM, ESG, CSRD, EU Taxonomy, and GHG Protocol are becoming increasingly important and how you can keep track amidst this flood of requirements.

Welcome to our Employee Spotlight series! Today, we’re thrilled to introduce you to Kathrin, our People & Growth Manager at pacemaker. Get to know her journey, experiences, and insights in the interview below. We want to provide a closer look at the individuals who drive our success. For potential applicants, this is an opportunity to get to know the person who might be talking to you first and to gain insights into our company culture, values, and what we look for in new team members.

There is money at stake. A lot of money. The Boston Consulting Group (Fig. 1) estimates the potential overall effect of the use of AI on sustainability at between 1.3 and 2.6 trillion(!) US dollars. Companies will achieve this effect through additional revenue and cost savings through AI by 2030.

"Who Cares Wins" – this was the title of the first ESG report in 2004. 20 years later, this thesis is still proving itself. More than ever. In the highly competitive global economy, adopting sustainable practices in the supply chain is not just a moral choice, but a strategic necessity. 

Artificial intelligence is becoming a powerful ally in the urgent fight against climate change. That's because it offers innovative solutions to drive decarbonisation and create a more sustainable future in all sectors.

In today's dynamic business world, demand forecasting is an indispensable tool that helps companies make well-founded decisions and secure competitive advantages. With the advent of AI and advanced analytical tools, predictive accuracy has significantly improved, resulting in more efficient processes and increased profitability.

Supply chain demand management combines two key strategies: demand planning and demand forecasting. Demand planning is a strategic approach in which inventory and production are aligned with anticipated market needs. It requires not only foresight, but also a coordinated approach across different business functions.

Terminology such as demand forecasting, bullwhips and AI-powered demand planning are part of the vocabulary of modern supply chain management.

Global supply chains are one of the most exciting and challenging issues of our time. Whether it is Covid, the Ukraine war or most recently the earthquake in Turkey, supply chain disruptions can have serious and long-lasting impacts on the economy, society and supply chain management (SCM). This shows once again how complex and susceptible SCM is to disruption - be it due to changes in consumer demand, unpredictable events or social and economic crises.

Inaccurate data entails problems and costs. We explain what data quality is and how good your data should be.

Demand forecasting helps companies predict future demand for products or services.

We support a supermarket chain in making its supply chain fit. Pacemaker Forecast makes it possible to forecast the sales volume of over 25,000 products in wholesale and retail branches of a supermarket chain more precisely.

Data alone does not create added value. It depends on the right use case.

Companies are increasingly using data science and data analytics solutions to use the sea of data to benefit their own business.

The data science project is defined. The proof of concept successfully implemented. And now? Unfortunately, this is often the end. In fact, operationalizing data science projects, i.e. successfully turning them into productive business operations, is one of the biggest challenges.

The rapidly increasing importance of online trade presents logistics service providers with increasing challenges in terms of warehouse and delivery planning.

In recent years, artificial intelligence (AI) has developed from a buzzword par excellence to a well-established term in many industries.

Customers want to receive the right product via the right channel in the right quantity and at the right time.

The rapidly increasing importance of online trade presents logistics service providers with increasing challenges in terms of warehouse and delivery planning.

More and more customers are shopping online. More and more items are being returned.

According to the International Data Corporation (IDC), the global data volume is expected to grow to 175 zettabytes by 2025 — an unimaginably large number with 21 zeros.

Data science projects are complex processes that require a well-coordinated team. This is the perfect way to set up your team.

It has never been more difficult than today to attract, inspire and retain customers. Customers in the B2C as well as B2B sectors are increasingly demanding an individual approach and a shopping experience tailored to their needs.

Supermarket chains make supply chains fit with us. Pacemaker Forecast makes it possible to forecast the sales volume of over 25,000 products in wholesale and retail branches of a supermarket chain more precisely.

The Corporate Sustainability Reporting Directive (CSRD) introduces new reporting requirements for companies in the EU and promotes transparency in terms of sustainability. This article provides an overview of the most important requirements, affected companies and the timetable for implementation.