Transport For Greater Manchester
Buyer information published with procurement notices.
- Published identifier
- GB-PPON PNJQ-2746-NWYT
- Address
- Manchester, UKD33, M1 3BG, United Kingdom
- First notice
- 3 Feb 2025
- Latest notice
- 9 Oct 2026
Published procurement activity · 162 tenders
Buyer information published with procurement notices.
Requirement for Delivery Resource for the Rail PAYG Programme.
The Solution Architect Resource is required to provide expertise on the Active Travel Programme.
The Solution Architect Resource is required to provide expertise on the Account Based Ticketing Programme.
TfGM is looking to find and contact with a specialist supplier in the area of connected vehicle data. TfGM on behalf of Safer Roads Greater Manchester (SRGM) Partnership is seeking a connected vehicle data provider to collaborate with TfGM's internal teams and partner authorities. SRGM is a multi-agency partnership dedicated to
This tender relates to Transport for Greater Manchester's (TfGM) need to procure a Cloud Public Address (PA) System and associated services to provide a secure, resilient, IP-based PA capability across TfGM Transport Service Facilities (TSFs). The PA service is intended to provide real-time passenger information, site-specific p
Development programme for Finance Leadership Team.
TfGM is seeking the appointment of a residential funder to fund, deliver and operate a mid-density apartment scheme in Bury town centre, to be delivered as part of the wider redevelopment of Bury Interchange. The proposed tenure mix has not yet been decided and is one of the matters on which prospective tenderers will be invited
Continuation of the existing Aimsun Live Hindley deployment through a one‑year extension, covering ongoing operation, maintenance, and optimisation. The extension also includes integration of INRIX Floating Vehicle Data into the system to enhance network insight, journey time monitoring, and digital traffic management capability
TfGM's UTC‑UX system holds a wide range of operational data about traffic signals, SCOOT performance, bus priority activity and network conditions. This data is valuable for analysis, KPI reporting and modelling, but the current process for extracting it is manual, inconsistent and resource‑intensive. A more automated and scalab
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Organisation details and tender classifications reflect information published by the original procurement sources. Similar buyer names are grouped only where an official identifier or compatible name and postcode provide a safe link.