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Arlington City Bids, VA
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90% recommend BidHits (1078 real users, 07/30/2026).Methodology
USA | VA | ARLINGTON COUNTY | ARLINGTONMidsize City
Selective Service System- Selective Service System- Selective Service System ( Sss)
SSS Moodle Learning Management System ( LMS) Modernization - The Selective Service System ( SSS) requires a coordinated effort to modernize its Learning Management System ( LMS) using Moodle. This agency is posting a requirement to address that effort. Interested and ca
Learning Management System ( LMS) modernization using Moodle
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The Selective Service System (SSS) requires modernization of its Learning Management System (LMS) using Moodle. Interested vendors should review the RFQ and attachments for details on this business opportunity. Services include IT and telecom, business application, application development, software as a service, service contracts, subscription-based software provisioning, and device rentals.
This is a Request for Quotation (RFQ) for long-term residential housing, specifically a group home for Independence House. The posting date was 07/24/2026, with an open date of 07/24/2026 and a close date of 08/03/2026. An addendum has been issued.
Demolition services Selective interior demolition of five floors, including partial 1st level, levels 4th through 6th, and partial 7th level.
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Selective interior demolition of five floors at 2020 14th St N. Bid due date extended to July 30, 2026, at 2 PM. Attachments include abatement monitoring report, hazmat report, demo drawings, pricing sheet, ITB, revised special conditions, and vendor QA.
USA | VA | ARLINGTON COUNTY | ARLINGTONMidsize City
Selective Service System- Selective Service System- Selective Service System ( Sss)
READINESS SIMULATION ( RS) for Selective Service System - AMENDMENT 1 - The purpose of this amendment is to correct and revise minor details contained in the RFQ. Details are on Page 2 of the published Amendment **** addition a conformed copy of the RFQ is also being post
Readiness Simulation ( RS) Tool for Selective Service System ****: Environment Onboarding, Requirements Elicitation ****: Model Architecture Core, Prototype ****: Full Model Build, Integration of MEFs, Scenario Library ****: Dashboard, Analytics, Security, Testing, Delivery ****: Formal Delivery and Acceptance ****: Post- Delivery Support, Training, Knowledge Transfer ( Option Period)
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The Selective Service System (SSS) is seeking a Readiness Simulation (RS) tool to model its mobilization pipeline. The tool should support configurable scenarios, provide decision support analytics, operate in a cloud environment, use anonymized data, and ensure government ownership. The procurement is a Request for Quote (RFQ) with a submission deadline of August 14, 2026. Award will be based on a best-value assessment, prioritizing technical capability and demonstration, followed by past performance, and then price. Vendors will be required to participate in a two-phase live demonstration. The SSS is located at **** Wilson Blvd, Arlington, VA.
Vendor submissions are due by August 14, 2026, at 2:00 PM Eastern Time.
Award will be based on a comparative assessment of quotations using the evaluation factors: Technical Capability and Demonstration, Past Performance, and Price. Technical capability and demonstration, when combined with past performance, are significantly more important than price.
Vendors must be qualified and registered in SAM. gov. The submission must demonstrate understanding of the requirements and capability to perform all tasks outlined in the Performance Work Statement (PWS).
The penalty for making false statements in submissions is prescribed in 18 ****.
Questions regarding the solicitation are due no later than July 28, 2026, at 2:00 PM Eastern Standard Time.
Failure to participate in a requested demonstration, or failure to demonstrate the capabilities represented in the quotation, may adversely affect the governments evaluation. An actual or potential organizational conflict of interest (OCI) that cannot be mitigated may render a vendor ineligible for award.
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Methodology
Unaided survey with 1078 active users, conducted through 07/30/2026.
Single question: "Would you recommend our services to a friend or colleague?" - 90% answered "yes".