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The energy market is significantly shaped by the oil and natural gas industries, which serve as pivotal contributors to the global economy as primary sources of fuel worldwide. The production and distribution of oil and gas involve intricate processes and systems that are both capital-intensive and reliant on cutting-edge technology.

Use Case – Sales and Operations

The Company
Global top 10 manufacturer of high-quality automotive and industrial lubricants products in over 100 markets . This leading multinational energy corporation is renowned for its extensive engagement in the global energy sector, encompassing resource exploration, production, and distribution across multiple nations. Its multifaceted presence includes activities ranging from upstream and downstream operations to refining, petrochemicals, and renewable energy pursuits. Striving for innovation and sustainability, the company plays a pivotal role in meeting worldwide energy needs, consistently demonstrating its commitment to excellence and technological advancement on the international stage.

  • ~$50B Revenues
  • 28+ Countries
  • 10 Blending Plants
  • Lack of a common view of Regional Accounts by the Global Users
  • Cash flow impacted by high inventory build
  • Decision-making impacted by the inability to model what-if scenarios
  • Cumbersome and manual processes in Excel
  • Cumbersome and manual processes in Excel

  • Demand Forecasting

    Identifying expected demand levels for the product or service with multiple subtle changes that add up over time and change the trajectory of demand.

  • Operational Planning

    Transforming a strategic plan into a detailed roadmap, delineating precise actions the team will undertake on a weekly, and at times, a daily basis.

  • Marketing Performance

    The metrics and outcomes that marketing departments look at to determine how well the marketing activities are doing at achieving the goals in marketing plans.

  • Management Reporting

    Internal reports used to run the organization, make business decisions, and monitor progress to make more accurate, data-driven decisions.

  • Product Ranking – ABC Classification
  • Demand Variability – XYZ Threshold
  • Cycle Stock , Safety Stock , Holding Inventory Calculation
  • Cost Analysis of Inventory
  • What-If Analysis of Inventory and Cost analytics
  • Forecasting Inventory
  • Top Down Planning
  • Phasing In/Out of SKUs
  • Unified view of accounts with real time dashboards and reports
  • Data driven decision making
  • Integrated planning through simulation of inventory and costs
  • 30% reduction in inventory build projections
  • Predictable shipment planning and replenishment to DCs

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