Fitness Training Equipment for USP Lee
Overview
Buyer
Place of Performance
NAICS
PSC
Set Aside
Original Source
Timeline
Qualification Details
Fit reasons
- NAICS alignment with historical contract wins in similar service areas.
- Scope strongly matches core technical capabilities and delivery model.
Risks
- Past performance thresholds may require one additional teaming partner.
- Potential clarification needed on staffing minimums before bid/no-bid.
Next steps
Validate eligibility requirements, assign capture owner, and schedule partner outreach to confirm teaming strategy before submission planning.
Quick Summary
The Federal Bureau of Prisons (BOP), specifically USP Lee, is soliciting proposals for Fitness Training Equipment to be purchased as a package deal. This acquisition is a 100% Women-Owned Small Business (WOSB) Set-Aside. Offers are due May 6, 2026, at 12:00 ET.
Scope of Work
This solicitation seeks a comprehensive list of commercial-grade fitness training equipment. Key items detailed in Section 1 include treadmills, elliptical trainers, power racks, weight machines, dumbbells, and Olympic bars. Vendors supplying used, reconditioned, or remanufactured equipment must provide pictures and videos to demonstrate condition and proper function.
Contract & Timeline
- Type: Firm Fixed Price
- Delivery Date Required: June 5, 2026
- Set-Aside: 100% Women-Owned Small Business (WOSB)
- NAICS Code: 423910 (Sporting and Recreational Goods and Supplies Merchant Wholesalers)
- Offer Due: May 6, 2026, 12:00 ET
- Published: May 1, 2026
Evaluation
Award will be made on a best value basis, considering:
- Condition of equipment (new vs. used)
- Condition of used equipment (requiring pictures and videos)
- Warranty information
- Structural integrity
- Price
Submission Requirements
Offers must be submitted via email to j1shuler@bop.gov and jprice@bop.gov. Offerors must be registered in the System for Award Management (SAM) and comply with various FAR and DOJ clauses, including those related to DEI, Buy American, Privacy, Security, and Large Language Models.