Installation and Management of Fully Automated Parking Management Services at the Department of Labor’s Frances Perkins Building

SOL #: OAA-26-00152Sources Sought

Overview

Buyer

Labor
Office Of The Assistant Secretary For Administration And Management
DOL - CAS DIVISION 3 PROCUREMENT
WASHINGTON, DC, 20210, United States

Place of Performance

DC

NAICS

Parking Lots and Garages (812930)

PSC

No PSC code specified

Set Aside

No set aside specified

Timeline

1
Posted
Feb 24, 2026
2
Last Updated
Mar 26, 2026
3
Response Deadline
Apr 13, 2026, 8:00 PM

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 U.S. Department of Labor (DOL) is issuing a Request for Information (RFI) for market research regarding the Installation and Management of Fully Automated Parking Management Services at its Frances Perkins Building (FPB) in Washington, DC. This RFI seeks industry input on modernizing and automating three parking garages. RFI responses are due April 10, 2026, at 4:00 PM ET.

Purpose & Scope

This RFI aims to gather information on industry capabilities, refine requirements, assess risks, and develop an appropriate acquisition strategy for a potential project to automate parking management for 898 spaces across three independent garages (East, North, South) at the FPB. The DOL is interested in a fully modernized system featuring automated controlled entry/exit (e.g., License Plate Identification, PIV cards), 24/7 customer service, online/mobile payment options, and an online dashboard for government officials to manage applications and track usage.

Project Details

The scope includes providing comprehensive parking management services, implementing a fully automated system, and managing the parking application process, including quality control and routing for government approval. The system should support both monthly and daily parking options and facilitate electronic issuance of parking infractions. The contractor will be responsible for providing all necessary equipment and electrical work for access control systems, online sales platforms, and other required technology. The contract is anticipated to be a fixed-price concession contract, potentially structured as a one-year base period with four 12-month option periods.

Requested Information

Respondents are asked to provide company information, relevant experience in parking garage automation (especially in occupied federal facilities), technical capabilities, anticipated approaches, schedule and cost considerations, and Rough Order of Magnitude (ROM) for proposed monthly/daily parking rates.

Contract & Timeline

  • Opportunity Type: Sources Sought / Request for Information (RFI)
  • Set-Aside: None specified
  • RFI Response Due: April 10, 2026, 4:00 PM ET
  • Questions Due: March 20, 2026 (passed)
  • Industry Day: Held March 12, 2026; presentation and Q&A posted March 26, 2026.
  • Published: March 26, 2026

Contact Information

Responses and inquiries should be directed to Contract Specialists Jeremy Keator (keator.jeremy.b@dol.gov) and Karla Salmon (salmon.karla@dol.gov).

Additional Notes

This RFI is for market research and planning purposes only and does not constitute a solicitation or commitment to acquire services. The Government will not reimburse costs associated with RFI responses or Industry Day attendance.

People

Points of Contact

Jeremy KeatorPRIMARY
Helen A. WilliamsSECONDARY

Files

Files

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Versions

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Posted: Mar 26, 2026
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Version 2
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Posted: Mar 13, 2026
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Version 1
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Installation and Management of Fully Automated Parking Management Services at the Department of Labor’s Frances Perkins Building | GovScope