Remove Unsafe Chemicals from Food - WILEE -Euromonitor Label Data Subscriptions

Past New Requirement Updated

Agency
Solicitation expected
Estimated value
$25,000 to $250,000
Set-aside
No set-aside

Forecast facts

Anticipated award
NAICS code
511210 Software Publishers
Points of contact

Forecast details come from HHS's procurement forecast. Agencies' dates and values are estimates.

About this forecast

The Department of Health and Human Services Food and Drug Administration is seeking a Euromonitor label data subscription to support the Human Foods Program Warp Intelligent Learning Engine. The procurement aims to acquire comprehensive online marketplace product data, including ingredient lists, manufacturer details, and allergen information for foods sold in the U.S. market. The estimated solicitation release date is July 1, 2026, with an anticipated contract award date of September 1, 2026.

The contract falls under the Software Publishers NAICS code 511210 and will provide critical data to address current label ingredient data gaps, particularly focusing on online shopping market insights. Key points of contact include Laquia Geathers (laquia.geathers@fda.hhs.gov) from the Food and Drug Administration, who can provide additional information about the procurement. While specific award values are not disclosed, the data subscription will support the FDA's efforts to gather comprehensive food product information from online marketplace sources.

Forecast text

PA #2 6/16 approved Remove Unsafe Chemicals from Food - WILEE - Euromonitor Label Data Subscriptions The Euromonitor label data subscription will provide food ingredient label data that will be used by the Human Foods Program Warp Intelligent Learning Engine. Euromonitor's label data surveys the internet market place for products that are sold on the U.S. market. The data provides the name of the product, a listing of ingredients written on the label, manufacturer details, supplier details and any allergen information on the label. This data will provide data that answers a specific data gap in current label ingredient data that is mostly surveyed from brick and mortar shops. Given the rise of online shopping, this is an important source of data on the foods consumed by the American public.

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