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This Government Contract opportunity from Massachusetts was posted on May 27, 2026. The submission period has ended. Browse the details below for market research, or find similar active opportunities.

Bid Tab Analysis & Competitor Insights Platform

Closed
State & Local

Contract Overview

Solicitation details, issuing organization, response deadlines, documents, and interested companies for this government contract opportunity.

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NAICS: 518210
New
Federal
Aberdeen Test Center - Data Collection Support Services (DCSS)
Solicitation # W91CRB-26-0000_043711
The U.S. Army Contracting Command, Aberdeen Proving Ground, is conducting market research via a Sources Sought and Request for Information notice to identify qualified providers for Data Collection Support Services (DCSS) at the Aberdeen Test Center. The anticipated requirement is for a single-award IDIQ contract with a five-year ordering period, utilizing firm-fixed-price or cost-plus-fixed-fee CLINs. The primary objective is to secure comprehensive data collection, technical writing, and administrative support across various directorates, including Automotive, Live Fire, Plans and Operations, and Virtual Test and Advanced Electronics and Warfighter. Key tasks involve data compilation, form development, test monitoring, editorial review of electronic and communication systems, computer operations, and range scheduling. Performance will occur primarily at Aberdeen Proving Ground, Maryland, with potential requirements at remote CONUS and OCONUS sites. The prime contractor must maintain a valid Secret Facility Security Clearance, and personnel must be U.S. citizens capable of obtaining Secret clearances. The contract includes a 45-day phase-in and phase-out period, with invoicing handled through the Wide Area Workflow system. Quality assurance will be managed via a Quality Assurance Surveillance Plan, requiring quarterly meetings and human validation of any AI-generated content. Interested respondents under NAICS 518210 must submit their capabilities and business size information by October 29, 2026, to help the government determine if the procurement will be a small business set-aside.
W6QK Acc-Apg

POSTED

about 21 hours ago

DEADLINE

in 1 day
NAICS: 518210
New
SLED
Organizational Analytics Platform RFP
Solicitation # 8559
The University of Louisville is soliciting proposals under solicitation number 8559 for a hosted Organizational Analytics Platform. The objective is to acquire a system for periodic, point-in-time reviews of position structures, staffing levels, management spans, and administrative efficiency. The platform will utilize University-produced flat files, such as CSVs, rather than direct system integration. Key deliverables include position dashboards, spans-and-layers analysis, shared-services analytics, and internal staffing comparisons. The project timeline targets a contract effective date in the week of January 9, 2027, with substantial completion and initial go-live by March 31, 2027, and final completion by April 14, 2027. The University will award the contract based on best value, evaluating proposals across four equally weighted categories at 25 percent each: firm and product experience, technical and functional fit, total cost of ownership, and the implementation and support model. Offerors must submit a technical and financial proposal through the Workday Strategic Sourcing portal by November 9, 2026. Required documentation includes a signed non-collusion statement and a sample contract or subscription agreement. Additionally, the selected provider must ensure compliance with ADA standards and WCAG 2.1 Level AA. All communications must be directed to the contracting officer via the bidding platform.
University of Louisville

POSTED

1 day ago

DEADLINE

in 12 days

AI Contract Overview

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The contract entails the development and delivery of a specialized software platform designed to analyze bid tab data and generate actionable competitor insights leveraging historical pricing information from MassDOT projects. The platform aims to enhance bidding strategies for contractors by identifying trends, pricing patterns, and competitor behaviors, ultimately improving the likelihood of winning contracts through data-driven decision-making. The system will be built specifically to process and interpret MassDOT’s historical project data, providing users with predictive analytics and strategic recommendations tailored to transportation infrastructure bids in Massachusetts. The work is structured as a subcontract under NAICS code 518210, which classifies it as data processing, hosting, and related services. While the solicitation number and point of contact are not provided, the contract was posted on May 27, 2026, with the same date serving as the response deadline, indicating an immediate or internal award process. Performance is expected to focus on District 5, suggesting the platform's initial deployment and validation will occur within that geographic region despite the lack of a specified physical location. The contract does not indicate a set-aside status, and the agency responsible is the Massachusetts Department of Transportation, which seeks to modernize its procurement ecosystem by empowering bidders with advanced analytical tools.

General Info

Provision of software analyzing MassDOT bid data to improve contractor bidding strategies by May 27, 2026.

Documents

This scope was carved out of 609440-134070.

The full solicitation package (20 documents), including the RFP, is on the prime solicitation, not on this scope.

View the prime solicitation

Call 003 609440-134070

AI Contract Breakdown

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Timeline

PhaseClosed
Posted

subcontract

Response Deadline

Deadline has passed

Submission Closed

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Organization & Contact Information

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AgencyMassachusetts Department of Transportation
ContactsNo contacts available
OfficeN/A
Office AddressN/A
ContactsNo contact information available

Full Description

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Provision of a software platform delivering bid tab analysis and competitor insights using historical MassDOT project pricing data to improve bidding strategy and win rates.

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