UNSPSC 10402614: Dried cut escimo rose

Dried cut bloom of the escimo variety of rose

UNSPSC 10402614 Dried cut escimo rose is a Commodity code that captures ornamental floral products used in state and local environmental restoration, landscaping, and recreational programming. The recent opportunities posted under this code show minimal alignment with the code's nominal scope—the solicitations instead reflect broader environmental services and arts-and-craft supplies procurement rather than dried flowers per se. Pinellas County's Environmental Planting, Monitoring, Reporting and Maintenance Services contract (RFP 250628RFP, due July 29, 2025) centers on invasive plant removal, native plant installation, wetland restoration, and ecological monitoring across multiple sites; Columbus Consolidated Government's arts and craft supplies procurement (RFB 26-0014, due February 25, 2026) targets recreational and after-school programming supplies for parks departments. The issuing bodies include county environmental agencies and municipal parks departments, both of which operate multi-year contracts on an as-needed basis with provisions for vendor flexibility and regulatory compliance.

Geographic activity appears limited to Florida (Pinellas County) and Georgia (Columbus), with no additional states represented in the recent opportunity set. The mismatch between the code's defined product—dried cut escimo rose—and the actual scope of work being solicited suggests this code sees little relevant recent state and local procurement activity. The two posted opportunities are tangentially related at best: one addresses environmental restoration services requiring native plant expertise and regulatory certification, while the other procures general arts-and-craft materials for community recreation. Neither opportunity centers on dried floral products or shows demand for the commodity as defined. Business development professionals should verify whether the code assignment reflects actual buying patterns or represents a classification error in the source data.