



The company faced challenges with real-time visibility, leading to inventory imbalances and high operational costs. Inefficient service levels negatively impacted OTIF performance, while last-minute adjustments increased shipping expenses. To address these issues, Aligned Automation implemented predictive analytics, data quality management, and automated workflows for better asset tracking. The solution enabled real-time decision-making, optimized inventory levels, improved OTIF delivery, and reduced overall costs through enhanced data-driven insights and scenario-based planning.
This multinational oil and gas company is among the world’s largest companies out of any industry. This $381 billion company has over 86,000 employees worldwide and a presence in more than 70 countries.
The organization lacked a unified view of inventory across its global operations, leading to inefficiencies, rising costs, and inconsistent service levels.
Decisions were made at regional or site levels without full visibility, resulting in stock imbalances, frequent stockouts, and excess inventory. At the same time, limited insight into asset availability forced teams to rely on urgent shipments, driving up operational costs and impacting performance.
Aligned Automation implemented a real-time global asset visibility and optimization platform to enable proactive, data-driven decision-making.
The solution unified data across all sites and applied predictive and prescriptive analytics to optimize inventory levels, asset allocation, and fulfillment strategies.
By integrating workflows and automating decision processes, teams gained the ability to take timely action on repairs, rebalancing, and new procurement decisions.
Key capabilities included:
Inventory management shifted from fragmented, reactive decision-making to a connected, proactive system.
Teams can now balance inventory more effectively across locations, reduce reliance on urgent shipments, and improve service levels, driving greater efficiency and cost control across global operations.


