UNSPSC 10161637: Madre selva plant

Plant of the caprifoliaceae family. Red flowers with terminal yellow lobes that exhale a delicate fragrance, intense by night.

UNSPSC 10161637 Madre selva plant is a Commodity code covering ornamental plants and landscaping vegetation sourced by state and local governments for grounds maintenance, median beautification, and site-specific planting projects. Recent state and local solicitations show this code applied to landscape construction and nursery plant procurement, with the work ranging from large-scale median planting initiatives to as-needed standing orders for mixed plant inventory. Issuing bodies include county boards of commissioners, city procurement divisions, and county parks and recreation departments, each procuring plants either as components of capital projects or as recurring supplies to support ongoing grounds-maintenance operations.

The code shows activity concentrated in Florida, with recent opportunities including Pasco County Board of County Commissioners' IFB for Little Road Medians Phase II landscape and irrigation construction (response due October 6, 2026) and the City of Altamonte Springs' ITB 26-085-KY for nursery plants and products on an as-needed basis with an October 1, 2026 contract start date. The Altamonte Springs bid structures plant procurement into four product groups—plugs, trees, potted plants, and grass seed—with estimated annual volumes ranging from 30 to 2,500 units per variety and allows award to multiple contractors by group. Delivery requirements specify zip codes 32701 and 32714 with 15-day windows for in-stock items and up to 30 days for special orders, and bidders must meet Commercial General Liability insurance of $1,000,000 per occurrence, Florida Sunbiz registration, and attestation requirements including E-Verify enrollment and foreign-country-of-concern certification. One solicitation (DeKalb County's tennis center reconstruction) was tagged with this code but addressed IT and low-voltage infrastructure, indicating potential classification misalignment in the source data.