Hardware Acquisition Recompete (HAR) Presolicitation Data

The Defense Logistics Agency Aviation has issued a Special Notice regarding the Hardware Acquisition Recompete (HAR) presolicitation data, following up on a previously conducted Industry Day event. This notice provides comprehensive pre-solicitation information to enable interested vendors to analyze and develop informed recommendations for two prospective contract vehicles: the Hardware Acquisition Recompete Customer Direct (HARC) and Hardware Acquisition Recompete DLA Direct (HARD) contracts. The agency has made available extensive datasets including sample National Stock Number (NSN) populations, technical specifications, supply chain information, and five years of historical performance data. The notice was posted on June 25, 2025, with a response deadline of July 11, 2025. No set-aside designation has been applied to this opportunity, indicating it is open to all eligible contractors.

The primary objective of this Special Notice is to provide potential contractors with detailed market intelligence and historical data necessary to analyze NSN populations and formulate strategic recommendations for the upcoming hardware acquisition recompete. Interested vendors are expected to utilize the provided datasets, which span multiple years of demand and performance data, to assess market opportunities and prepare comprehensive responses. The attached government files include detailed demand data covering various time periods from 2020 to 2025, along with specialized reports for both customer direct and DLA direct acquisition channels. While specific eligibility criteria are not explicitly outlined in the notice description, the comprehensive nature of the data suggests this opportunity is targeted toward established hardware suppliers with the analytical capabilities to process complex supply chain datasets. The initiative represents a significant procurement strategy aimed at optimizing hardware acquisition processes through data-driven contractor selection and performance optimization.