The Challenge

Logistics and sustainment operations depend on a steady flow of accurate data—maintenance logs, supply manifests, and sensor telemetry. Yet much of this information is stored in disconnected systems and inconsistent formats, limiting visibility and preventing predictive insight.

Without structured, high-fidelity data, AI and analytics tools cannot accurately forecast shortages, anticipate component failures, or synchronize supply and maintenance activities. The result is reactive sustainment, costly delays, and avoidable readiness gaps.

The Solution

Unstructured provides the data foundation that enables GenAI-driven logistics management. We convert diverse inputs—text, imagery, spreadsheets, and sensor data—into a continuously updated, structured dataset enriched with metadata for traceability and accuracy.

This structured layer fuels GenAI tools for sustainment and readiness forecasting, allowing planners to predict demand, anticipate component failures, optimize resupply routes, and accelerate restoration timelines for mission-critical assets. The result is a data environment that supports proactive, evidence-based sustainment decisions across the entire logistics enterprise.

The Results

With Unstructured, logistics and sustainment teams gain predictive visibility and actionable foresight:

• 40 % reduction in downtime through predictive maintenance and data-driven scheduling
• Improved cross-enterprise visibility between government and industry partners
• Enhanced readiness, agility, and coordination across supply and maintenance domains

By replacing fragmented reporting with structured, AI-ready data pipelines, Unstructured helps transform sustainment from reactive problem-solving to continuous readiness optimization.

Governance and Deployment

Unstructured supports secure, flexible deployment across logistics and sustainment environments. Agencies and enterprises can deploy on-premises, in private cloud, GovCloud, or in-VPC configurations—maintaining full control of sensitive operational and supplier data while ensuring compliance with federal and industry standards.

Comprehensive metadata management, lineage tracking, and role-based access controls provide transparency across every stage of the data lifecycle. Built on open standards and interoperable architectures, Unstructured integrates seamlessly with existing logistics and maintenance ecosystems, avoiding vendor lock-in and enabling future innovation without data rework.

Mission Impact

Unstructured transforms logistics from reactive management to predictive sustainment. By structuring the data behind GenAI, Unstructured enables logisticians and planners to foresee demand, optimize inventory, and ensure mission-ready assets—turning logistics from an operational bottleneck into a strategic advantage.