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Navigator is an AI-powered decision support tool that transforms how logisticians across multiple echelons plan and execute resupply missions. By replacing hours of manual work in spreadsheets with intuitive, advanced software, Navigator delivers real-time predictive insights and dramatically accelerates resupply decisions—ensuring operational readiness when it matters most.
Navigator empowers units with unprecedented foresight, enabling them to anticipate supply needs and address gaps in real-time. Through consumption projections that learn from historical data, compute ongoing requirements, and visualize supply trends, units can make proactive adjustments before shortages impact operations. The system provides normalized supply levels that create a unified view of status from any input type—whether data comes from a LOGSTAT, JBC-P message, an embedded sensor, or other variants of inventory and resupply requests.
Navigator's analytical engine continuously monitors supply data, flagging anomalies and recommending specific resupply actions based on mission parameters and operational tempo. By minimizing manual planning efforts and automating complex calculations, Navigator ensures units maintain optimal readiness while adapting to changing mission demands in real-time—transforming logistics from a reactive necessity to a proactive strategic advantage.
Navigator is designed to provide planners with the most accurate logistics data they've ever seen in the field. We've built complex models that reflect how resupply truly functions in operational contexts—not how it works in a lab. Our algorithms and AI agents handle the computational heavy lifting, running thousands of calculations that would otherwise burden logisticians across the team. Input, Analyze, Act, Repeat continuously so that logisticians can focus on courses of action and outcomes not data jockeying.
Input
Navigator synthesizes a wide range of possible inputs to understand and estimate critical consideration factors: current supply levels, real-time consumption rates, realistic resupply timelines, mission-based priorities, and operational risk factors. By aggregating and normalizing data from disparate sources, the system creates a single, accurate picture of the logistics landscape.
Analysis
Navigator's agents automatically model possible resupply allocations and distribution plans based on current conditions and constraints. These models are generated in advance of LOGSYNC meetings, providing stakeholders with data-driven options to consider rather than starting from scratch. This approach transforms planning sessions from lengthy debates over basic facts to focused discussions on strategic decisions.
Action
Once decisions are made, Navigator automates the creation of orders related to supply actions, removing hours of wasted administrative work while increasing accuracy and standardization. As these actions are executed, their status feeds back into the system's ground truth understanding, creating a virtuous cycle of increasingly precise logistics intelligence. This closed-loop approach ensures that each operation improves future planning accuracy.
Accelerated Resupply Planning
Navigator was built for logisticians to plan complex resupply operations in minutes instead of hours. By analyzing historical consumption data, current inventory levels, and operational tempo, Navigator recommends optimal resupply schedules and quantities—ensuring forces maintain peak readiness without excess inventory burden.
Mission Simulation & Wargaming Integration
In additional to operational workloads, Navigator was designed to enhance Tactical Table-Top Exercises (TTX) and Wargaming functions, bringing logistics realism into operational planning. Teams can simulate multiple scenarios to identify potential bottlenecks and vulnerabilities across the entire supply chain—from strategic movement to last-mile tactical delivery.
The system seamlessly integrates into existing TTX and Wargaming workflows, allowing commanders to:
- Stress-test logistics plans under realistic contested environment conditions
- Introduce dynamic supply chain disruptions to train resilient decision-making
- Evaluate multiple Courses of Action (COAs) with complete logistics considerations
- Capture decision points and logistics lessons learned for after-action review
Navigator's AI evaluates alternative routes, timing options, and resource allocations in real-time during exercises, helping commanders select the most resilient resupply strategy while training staff to anticipate and overcome logistics challenges before they arise in actual operations.
Adapt to Disruptions
When supply routes are compromised or consumption patterns suddenly change, Navigator provides immediate alternative options. The system continuously recalculates optimal solutions based on real-time intelligence, empowering leaders to make informed decisions in rapidly evolving situations.
Data-Driven Inventory Optimization
Navigator transforms each logistics operation into a valuable data asset for future planning. By tracking consumption patterns across different mission types and environments, the system helps optimize prepositioning strategies and inventory levels—maximizing readiness while minimizing logistics footprint.
