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Data science & AI

Advanced analytics in forecasting and S&OP

Evaluating optimisation potential (forecasting accuracy, inventory) of forecasting and S&OP at an international building materials supplier.

Project content

  • Defining objectives, scope and deliverables
  • Providing and extracting data on product/customer revenue, demand, inventory and planning
  • Preparing the data and building the data pipeline (Medallion architecture)
  • Analysing and modelling the data (exploratory data analysis)
  • Preparing the results in BI dashboards (Power BI)
  • Interpreting and aligning the analysis results
  • Benchmarking with best practice forecasting & planning algorithms
  • Deriving optimisation approaches and measures
  • Planning and initiating implementation

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