Data Science
Data Quality - What is it and how good does my data need to be?
Faulty data brings problems and costs. We explain what data quality is and how good your data should be
Blog - Examples and success stories for supply chain optimization
Data Science
The path to the data product - How you profit sustainably from Data Science
The data science project is defined. The proof of concept has been successfully implemented. And now? Unfortunately, this is often the end of the...
Data Science
Data Science – Make or Buy?
Companies are increasingly turning to data science and data analytics solutions to leverage the sea of data for their own business.
Data Science
Why your sales forecast needs machine learning
Customers want to receive the right product through the right channel, in the right quantity and at the right time.
Data Science
Predict and better manage returns
More and more customers are shopping online. More and more items are being returned.
Data Science
Supply chain algorithms: cost-effective, agile and customer-centric logistics
It has never been more difficult than today to win, inspire and retain customers. Customers in both the B2C and B2B sectors are increasingly...
Data Science
Forecasting in retail - These 5 examples you should know
In recent years, artificial intelligence (AI) has evolved from a buzzword par excellence to an established term in many industries.
Data Science
Why Demand Forecasting is Crucial for Companies
Demand forecasting helps companies predict the future demand for products or services.
Data Science
Order & return quantity forecast for a fashion retailer
The rapidly increasing importance of E-Commerce poses increasing challenges for logistics service providers in terms of warehouse and delivery...
Data Science
Forecast of sales volumes for a supermarket chain
We supported a supermarket chain in making its supply chain fit. Thanks to pacemaker, a more precise forecast of the sales volume of over 25,000...
Data Science
Staff scheduling for Fiege Austria
Forecasts that are created on the basis of Excel have the major disadvantage that they are based purely on historical, internal data. Our pacemaker...
Data Science
Forecasting the water consumption for a public utility company
Together with a municipal utility, we have developed a forecasting solution that enables the precise forecast of water requirements for an entire...