Login

Data science & AI

Advanced analytics in the spare parts business

Conducting an end-to-end analysis to optimise the spare/wear parts business (growth potential, delivery performance, costs, inventory) of an international machine tool manufacturer.

Project content

  • Defining objectives, scope and deliverables
  • Providing and extracting all customer, installed base, product and spare/wear parts data
  • Preparing the data and building the data pipeline (Medallion architecture)
  • Analysing and modelling the data – exploratory data analysis from the perspective of markets, customers, installed base, products, spare/wear parts including supply chain/network
  • Preparing the results in BI dashboards (Power BI)
  • Benchmarking spare/wear parts revenues at the customer and installed base level
  • Benchmarking manufacturing costs of in-house and purchased parts using parametric cost estimation
  • Interpreting and aligning the analysis results
  • Quantifying and assessing optimisation potential
  • Deriving key directions and measures for implementation

Interested in learning more about this challenging project? Contact us!


Get in touch now

You search - we will find!