Utilities2024NLPOptimization / Operations ResearchPredictive AnalyticsB2B
Fortune 500 oil and gas major

Fortune 500 oil and gas major lifts procurement ROI 15% with AI-powered supplier performance platform

A global oil and gas company consolidated 15 fragmented procurement systems into a single AI-driven platform with GEP, achieving a 20% increase in electronic sourcing adoption and a 15% improvement in procurement ROI while enabling faster, more agile responses to market fluctuations.

Procurement ROI Improvement15%
E-Sourcing Adoption Increase20%
Systems Consolidated15→ 2
5 min read

Background

A global Fortune 500 oil and gas company was running procurement across 15 fragmented software systems with data silos and approval bottlenecks of up to 70 sign-offs. Without centralized supplier performance visibility, the organization could not respond agilely to supply disruptions or market shifts, and e-sourcing adoption remained below 20%.

What Was Implemented

  • Deployed GEP SMART unified source-to-pay platform, consolidating 15 systems to 2
  • Built a central data lake feeding real-time, interactive supplier performance dashboards with customizable drill-down views
  • Implemented GEP's Intelligent Category Management for AI-driven insights and benchmarking
  • Digitized paper-based contracts and transitioned manual sourcing events to electronic RFx processes
  • Streamlined approval workflows to reduce transaction sign-off bottlenecks

Results

The initiative delivered a 15% improvement in procurement ROI and a 20% increase in electronic sourcing adoption (from below 20% to above 80%), as reported by GEP. The company achieved faster, more agile responses to market fluctuations through centralized data and real-time dashboards.

Lessons

  • Consolidating fragmented procurement systems before deploying AI analytics is prerequisite to generating reliable supplier performance signals
  • Dashboard usability and stakeholder-specific views drive adoption; generic reporting does not
  • E-sourcing adoption rates track closely with user experience — an intuitive interface matters as much as the underlying AI

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