Engine AI is inviting international technology partners to collaborate on an AI-driven materials management initiative for an oil & gas production company. We are seeking proven solutions and domain expertise in materials intelligence, inventory optimization, spare-parts and MRO analytics, and enterprise-scale deployment within asset-intensive environments. Collaboration will follow a clear prime-led model, with Engine AI acting as the system integrator and delivery owner, and partners contributing specialist technology within defined scopes. Interested parties are invited to contact executiveoffice@engineai.om for an initial discussion.
The business problem centers on aging materials across production operations. Long-stored items with no clear consumption plan, capital locked in slow-moving or obsolete stock, and increasing risks of expiry, degradation, or non-compliance are common. Visibility across warehouses, producing assets, maintenance programs, and future demand is fragmented, leading to reactive write-offs rather than proactive, value-preserving decisions. Traditional ERP aging reports describe the past; the operation now requires intelligence that predicts and prescribes.
The current state relies on SAP-centric reporting with limited decision support. Materials data has evolved over many years with inconsistent descriptions and duplicates, weak linkage to assets and maintenance demand, and minimal forward-looking insight. Aging is typically assessed by time in storage, treating all items similarly regardless of criticality or likelihood of use, which constrains effective prioritization and action.
The desired outcome is an AI-enabled materials intelligence capability integrated into Power BI. This capability will assess aging risk dynamically, predict consumption probability, identify reallocation and reuse opportunities, flag obsolescence and approved substitutes, and optimize financial decisions such as write-offs and procurement controls. The result is differentiated, auditable decisions that protect production continuity while releasing working capital and strengthening governance across the materials lifecycle.