What gets measured. Gets managed

Success Stories

Oil and Gas Supermajor

A great success story since 2010 of ‘Procurement Data Management’ including Spend data, Contracts data, Commodity hierarchy, Business hierarchy, Opportunity pipeline, T&E, P-cards, Supplier master, Material master.

Spend Data Landscape:

  • $60bn+ annual spend – Direct and Indirect
  • 40+ Business Units including Upstream, Downstream, Shipping, Alternative Energy, Retail Distribution
  • 100+ Accounts Payable system
  • 50+ countries
  • 25+ languages
  • 15mn+ annual line item transactions
  • Home-grown Data warehouse with a rules based classifier

Business Challenges:

  • Only 70% spend visibility with $15bn+ spend classified as ‘Unknown’
  • Less than 60% spend accuracy
  • Inaccurate business cost allocation
  • Extremely Low user acceptance

ProcurEdge Solution:

  • Consulting and Designing multiple commodity hierarchies for different businesses
  • Design of an automated classification solution
  • Using Artificial Intelligence (AI) solution for spend classification Implementing a Cost-Center based business hierarchy spend allocation

Success KPIs:

  • 99.5% spend visibility
  • 93%+ Auto-classification
  • Monthly refreshes with 1mn+ line items in 2 weeks
  • Integration of Amex line item data with $0.5bn annual spend and 400% increase in user adoption

Aluminium Profiles Manufacturer

Our client was seeking to reduce its cost base quickly by improving the way the organisation procured goods and services. Spend Data Analysis was the key to identify existing opportunities through consolidation of spend across several business units.

Spend Data Landscape:

  • €6bn+ annual spend – Direct and Indirect
  • 20+ Business Units
  • 20+ Accounts Payable system
  • 15+ countries
  • 10+ languages
  • 15mn+ annual line item transactions

Business Challenges:

  • No formal spend analysis program
  • Complex Direct spend including extrusion dies, tooling, components, etc.
  • Significant East European language spend

ProcurEdge Solution:

  • Designing data templates for extraction of spend data from multiple systems
  • Transforming and rationalising multiple data sets into a common spend analysis program
  • Designing a custom classification hierarchy for Direct and Indirect spend
  • Artificial Intelligence (AI) solution for spend classification

Success KPIs:

  • 99% spend visibility
  • 96%+ spend accuracy
  • Monthly refreshes with 0.5mn+ line items in 2 weeks
  • €100mn+ realised savings