AI Driven Solutions for Combat Feeding Division Tender, USA - 109076116

Procurement Summary

Country : USA

Summary : AI Driven Solutions for Combat Feeding Division

Deadline : 22 Nov 2024

Other Information

Notice Type : Tender

TOT Ref.No.: 109076116

Document Ref. No. : W911QY25AIDRIVEN

Competition : ICB

Financier : Self Financed

Purchaser Ownership : Public

Tender Value : Refer Document

Purchaser's Detail

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Tender Details

Description

SYNOPSIS: 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 Arificial 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.



The Government requests that responses be submitted electronically to donna.m.glowka.civ@army.mil and gil.cohen.civ@army.mil no later than November 22, 2024 by 5pm EST.



Background: The U.S. Army Combat Capabilities Development Command, CFD is seeking artificial intelligence and/or machine learning algorithms and tools to, aid in ration development, manage micro/macronutrient content, and predict outcomes of sensory and field tests. The combat feeding division develops combat rations with a shelf-life ranging from 18-36 months that provide nutrition in compliance with Army Regulation 40-25 “Nutrition and Menu Standards for Human Performance Optimization” https://armypubs.army.mil/epubs/DR_pubs/DR_a/pdf/web/AR40-25_WEB_Final.pdf At present, many components of rations are discarded due to low acceptability of the products, weight, preparation time, personal preferences, and other factors. If Warfighters do not consume their rations in full, they risk not meeting their dietary needs for optimal performance. This discarding of unwanted products is referred to as ‘field stripping-. Using AI to analyze sensory/acceptability data on the current rations could identify ways to improve combat rations to decrease underconsumption, and waste.



Description: DEVCOM-SC is conducting a Request for Information (RFI) on technologies or capabilities for da...
Active Contract Opportunity
Notice ID : W911QY25AIDRIVEN
Related Notice
Department/Ind. Agency : DEPT OF DEFENSE
Sub-tier : DEPT OF THE ARMY
Major Command : AMC
Sub Command : ACC
Sub Command 2 : ACC-CTRS
Sub Command 3 : ACC-APG
Office : W6QK ACC-APG NATICK
General Information
Contract Opportunity Type: Sources Sought (Original)
Original Published Date: Oct 22, 2024 11:28 am EDT
Original Response Date: Nov 22, 2024 05:00 pm EST
Inactive Policy: 15 days after response date
Original Inactive Date: Dec 07, 2024
Initiative: None

Classification
Original Set Aside:
Product Service Code: R499 - SUPPORT- PROFESSIONAL: OTHER
NAICS Code: 541715 - Research and Development in the Physical, Engineering, and Life Sciences (except Nanotechnology and Biotechnology)

Place of Performance: Natick, MA 01760 USA

Documents

 Tender Notice