GEORGIA PERFECT PACKERS, INC.

Georgia Perfect Packers, Inc. operates as a transportation and logistics provider specializing in freight hauling services under NAICS 484210, which encompasses general freight trucking. The company’s core capabilities involve the secure, time-sensitive movement of commercial and government-associated cargo across regional and interstate networks using a fleet of dry van and possibly refrigerated freight vehicles. Their operational model emphasizes reliability, route optimization, and compliance with FMCSA safety standards, ensuring timely delivery of goods requiring controlled handling. While no specific award history is available to detail project scope, their business structure and classification suggest a focus on contract-based freight services supporting supply chain continuity for public sector operations. Technical expertise includes fleet maintenance protocols, electronic logging device (ELD) compliance, hazardous materials handling procedures, and real-time tracking systems to support mission-critical logistics. No agency relationships can be inferred due to the absence of contract award data. The company’s engagement with federal, state, or local entities remains undocumented in available records. The business is positioned within the general freight trucking sector, serving industries that require dependable ground transportation of non-specialized cargo. Without specific NAICS-based award patterns, vertical specializations cannot be identified, but the company’s classification indicates a foundational role in last-mile or regional freight distribution networks. Georgia Perfect Packers, Inc. is structured as a small business under the 2L entity classification, indicating it is a small, independently owned firm. The company holds no federal certifications such as 8(a), HUBZone, or WOSB, and operates from its base in Forsyth, Georgia. Its geographic presence is regional, with operations likely concentrated in the Southeastern U.S., supporting local and state-level logistics demands through a lean, asset-based model.