Replenish Products, LLC

Replenish Products, LLC, a woman-owned small business and self-certified small disadvantaged business based in Ozark, Missouri, manufactures and sells grit soap products to the General Services Administration Federal Acquisition Service through recurring micro-purchase orders, operating exclusively as a prime contractor on full-and-open purchase orders with no set-aside designations.

The vendor's federal footprint is narrow and highly specialized. Replenish Products has received 190 purchase orders from GSA FAS since February 2022, all for the same product line: GRIT SOAP under part number RP GS1001 (and in early 2022, AWS Contractors part number 13100). The combined potential value across all 190 awards is $16 thousand, with $16 thousand obligated—reflecting the micro-purchase nature of the business model. Individual order values range from $12 to $847, with most orders falling in the $12 to $194 range. One purchase order dated 28 March 2022 carried a "Ukraine Mission Support" action code. All awards are firm fixed price purchase orders with performance at the awardee's Ozark, Missouri location and completion windows spanning 5 to 15 days per order.

Customer concentration is absolute: GSA Federal Acquisition Service accounts for all 190 awards and 100% of combined potential value. Activity has been steady year over year—42 awards in 2022, 47 in 2023, 53 in 2024, declining to 38 in 2025, with 10 awards recorded so far in 2026. The vendor's entire award portfolio falls under NAICS 325611 (Soap and Other Detergent Manufacturing) and PSC code 7930 (Toilet Soap, Shaving Preparations, and Dentifrices). Replenish Products maintains no subcontractor relationships and no positions on parent contract vehicles; all sales flow through direct purchase orders issued by GSA FAS. The vendor's business model is consumables replenishment for federal facilities—a high-velocity, low-dollar-value channel where competitive advantage turns on supply chain reliability and consistent product availability rather than on scale, complexity, or vehicle positioning.