Army RFI: AI/ML Driven Solutions for Combat Feeding Division (CFD)

Notice ID: W911QY25AIDRIVEN

This Sources Sought Announcement is to assist the US Army Combat Capabilities Development Command – Soldier Center (DEVCOM-SC) Combat Feeding Division (CFD) to identify potential sources to provide systems and tools for data management and predictive models to aid in ration development, manage macro/micronutrient content, and analyze sensory and field test and evaluation data. The goal is to leverage Artificial Intelligence (AI) and/or Machine Learning (ML) to improve data analysis, so that CFD can provide the joint warfighter with products that meet their specific nutritional needs.

Specific Specifications:

• Tools and algorithms that leverage AI and ML to aid in ration development and formulation with respect to organoleptic properties (sensory scores), shelf-life, micro/macronutrient content, processing parameters, packaging, ingredient selection, labeling, consumer acceptance, and other relevant properties.
• Interfaces such as Generative AI to aid in ration development. This tool should be able to identify the micro/macronutrient content of ingredients and ration components based on their ingredients and preparation methods.
• AI and Machine Learning tools and algorithms that use readily available data from sensory evaluations and field. This solution would help to predict which ration components would be discarded based on historical sensory and field test data and potential effects on human performance.
• Systems that can manage historical data. This interface would be able to analyze large datasets and give suggestions on how to analyze the data and provide insights to improve efficiency in ration product development.

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