Objective

Develop and implement a secure wireless data transfer solution for Predictive Logistics. This solution must enable the seamless movement of collected logistics data from military platforms to a central location where Unit Commanders and Maintainers can visualize and analyze this data.

Description

A technology solution is needed for wireless data transmission from Digital Source Collectors (DSCs) on Tactical Wheeled Vehicles back to a centralized collection point in the motorpool, specifically the Army Vantage dashboard.  Transmission of Predictive Logistics data wirelessly during field operations with acceptable speed and network availability will significantly enhance the efficiency and effectiveness of vehicle operations.

This data transport capability will enable Unit Commanders and Maintainers to monitor the health status, fuel and ammunition of their platforms in near real-time, facilitating tactical adjustments and prompt responses to critical maintenance issues. Solutions should focus on movement of High Priority critical fault and fuel/ammo status notifications.

Phase I

This topic is accepting both Phase I proposals for a cost up to $250,000 for a 6-month period of performance and Direct to Phase II proposals for a cost up to $1,999,999 for a 24-month period of performance.

Companies will complete a feasibility study demonstrating the firm’s competitive technical advantage relative to other commercial products (if other products exist) and develop concept plans for how the company’s technology addresses Army modernization priority areas.

Studies should clearly detail and identify a firm’s technology at both the individual component and system levels, provide supporting literature for technical feasibility, highlight existing performance data, showcase the technology’s application opportunities to a broad base of customers outside the defense space, a market strategy for the commercial space, how the technology directly addresses the Army’s modernization area as well as include a technology development roadmap to demonstrate scientific and engineering viability.

At the end of Phase I, the Army will require the company to provide a concept demonstration of their technology to demonstrate a high probability that continued design and development will result in a Phase II mature product.

Phase II

Produce prototype solutions that Soldiers can easily operate. Firms will provide these products to select Army units for further evaluation by the Soldiers. In addition, companies will offer technology transition and commercialization plans for the Department of Defense and commercial markets.

Phase III

Potential Commercial Use Cases

• Logistics Status (LOGSTAT) Data: The LOGSTAT data allows commanders to view the status of a unit’s ammunition, food, water, and fuel in near real-time. This technology, particularly in logistics and supply chain management, can be applied to track the status of critical resources such as inventory levels, raw materials and fuel.
• AI-Driven Decision Making: The use of AI in predictive maintenance allows for quick analysis of large data sets, enhancing decision-making processes. This technology can be utilized in various industries, including manufacturing, healthcare and logistics, to predict equipment failures, optimize maintenance schedules and forecast supply chain needs.
• Vehicle Fleet Management: Predictive maintenance is used to monitor and maintain military vehicle fleets. This approach can be extended to commercial vehicle fleets, public transportation including logistics and transportation companies, to improve reliability and reduce operational costs.
• Predictive Logistics: By integrating predictive maintenance with logistics, the Army can optimize the deployment and sustainment of resources. This concept can also be applied in the commercial sector to streamline supply chain operations and improve delivery times
• Improved Safety: Data collection and monitoring driver performance such as speed, braking habits and adherence to safety protocols can identify areas for improvement, targeted training and enhance overall operational safety. This data-driven approach allows for personalized feedback and training for drivers, leading to more efficient and safer driving practices. This approach can be extended to civilian sectors by utilizing vehicle data to monitor driver performance, companies can improve safety standards, reduce accidents, and lower operational costs.
• Agriculture: Wireless data transmission systems can be utilized in precision farming to monitor equipment and crop conditions in real-time.
• Emergency Services: Improving coordination and efficiency of emergency response vehicles through reliable data transmission.   Especially in remote environments with limited connectivity.
• Telecommunications: Enhancing network management and maintenance by monitoring and analyzing data from field equipment.
• Maritime Industry: Monitoring and managing vessel operations and equipment through advanced wireless communication systems.

Submission Information

For more information, and to submit your full proposal package, visit the DSIP Portal.

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