UNSPSC 50333407: Dried organic baresana grapes

The variety of organic table grapes known as organic baresana grapes that have been dried for preservation.

UNSPSC 50333407 Dried organic baresana grapes is a Commodity code with virtually no recent state and local procurement activity aligned to its specific scope. The source includes one tangentially related opportunity—the County of Santa Clara's dried fruits and nuts solicitation for a correctional facility—which encompasses dried raisins, cranberries, and tropical fruit blend but does not name baresana grapes or organic product specifications. The remaining opportunities in the block are overwhelmingly school district food service procurements for fresh produce, main-line grocery distribution, and cafeteria staples, none of which target dried grape products or organic certifications. The mismatch between the code's nominal scope and the actual recent opportunities indicates minimal current demand or misclassification of this code within state and local procurement systems.

School districts and correctional facilities dominate recent food procurement activity across Georgia, Texas, Connecticut, Missouri, Virginia, and California, but the opportunities posted since January 2026 focus on fresh produce, proteins, dairy, grains, and prepared entrees supplied through competitive bidding and cooperative purchasing vehicles. The single dried-fruit opportunity—Santa Clara County's ITB for dried fruits and nuts (due February 5, 2026)—covers raisins, cranberries, and tropical blends for inmate meals, with no reference to baresana grapes or organic sourcing. No recent opportunities across the dataset solicit dried organic baresana grapes, and no jurisdictions show repeat procurement patterns for specialty or organic dried fruit products. State and local buyers in this dataset appear to prioritize volume commodity sourcing under Buy American and nutritional-standards frameworks rather than specialty organic products, making pursuit under this code inadvisable absent evidence of future demand signals.