Accurate Demand Forecasting with LH MAQER and Zdaly

About the project with Zdaly

Statistical demand forecasting is essential for ensuring the long-term success of LafargeHolcim. It is used to better plan operations and analyse which areas have potential for future development. Demand forecasting is influenced by internal as well as external factors, which results in huge datasets and various algorithms needing to be deployed for tackling the complexity and volatility of the data.

Zdaly employs the largest precurated collection of world data trends and statistics which are mapped to the internal company datasets. That’s why, in order to enable better decision-making and predictive insights, LH Startup MAQER kicked off a pilot project with Zdaly to leverage its data intelligence solution, which unifies data science, machine learning and external data to simulate forecasting scenarios and streamline strategic decision making.

Visit zdaly.com

Location

Switzerland, USA

Focus

Commercial

Milestones

• 15+ external data trends influencing SDF
  
• 81% avg. accuracy at terminal level
  

Team

• Long-Van Nguyen
• Bengt Steinbrecher
• Rajdeep Golecha