Awarded contract
Published
Furniture
10 suppliers have saved this notice.
Looks like a fit? Save this tender and qualify it in Stotles
Description
Bridgwater College is seeking a cost-effective and efficient supplier for Office Furniture, which complies with current and future legislation and supports its objectives to provide quality and reliable goods.. The contract shall be awarded for a 3 year period from January 2016 to December 2019 plus an option year to December 2020, subject to satisfactory performance and the outcome of periodic reviews. Tenderers are asked to in the first instance to express an interest and to complete a PQQ. Successful applicants will then be invited to tender. All tender documentation will be managed through the In-Tend FE Colleges portal: https://in-tendhost.co.uk/fe/aspx/home The PQQ will be published to the secure area upon receipt of your expression of interest. The closing date for the return of the PQQ is 12.10.2015, 12:00 GMT.
Qualify tenders faster with AI summaries - see key details in the Stotles app
Never miss a tender again
Get alerts, AI summaries and tools to qualify faster
Explore similar pre-tenders, open or awarded contracts
Browse open tenders, recent contract awards and upcoming contract expiries that match similar CPV codes.
The City of Liverpool College
250,000 GBP
Published 14 hours ago
The City of Liverpool College
200,000 GBP
Published 14 hours ago
University of Worcester
87,388.2 GBP
Published 23 days ago
University of Chester
800,000 GBP
Published a month ago
Awarded
Supply of Office Furniture
Office for Standards in Education, Children's Services and Skills (Ofsted)
454,966.2 GBP
Published a month ago
Explore top buyers for public sector contracts
Discover open tenders, contract awards and upcoming contract expiries of thousands of public sector buyers below. Gain insights into their procurement activity, historical purchasing trends and more.
CPV Codes
Sign up to the Stotles Tender Tracker for free
Find even more contracts with advanced search capability and AI powered relevance scoring.