Toggle Offcanvas
...
Global Government Tenders

Most trusted source for Tendering Opportunities and Business Intelligence since 2002

Object: Electronic Auction - Acquisition Of 05 (Five) Suv Type Vehicles Characterized For The School Policing And Drug And Violence Prevention Battalion - Bpred Of Pm/Rn.

GOVERNO DO ESTADO DO RIO GRANDE DO NORTE Brazil has Released a tender for Object: Electronic Auction - Acquisition Of 05 (Five) Suv Type Vehicles Characterized For The School Policing And Drug And Violence Prevention Battalion - Bpred Of Pm/Rn. in Infrastructure and construction. The tender was released on Nov 04, 2024.

Country - Brazil

Summary - Object: Electronic Auction - Acquisition Of 05 (Five) Suv Type Vehicles Characterized For The School Policing And Drug And Violence Prevention Battalion - Bpred Of Pm/Rn.

Deadline - login to view

GT reference number - 96915195

Product classification - Construction work

Organization Details:

  Address - Brazil

  Contact details - 565656565

  Tender notice no. - 76454545

  GT Ref Id - 96915195

  Document Type - Tender Notices

Notice Details and Documents:

Description - Description: Electronic Auction No. 90064/2024 - (Law No. 14,133/2021)Object: Object: Electronic Auction - Acquisition of 05 (five) SUV-type vehicles marked for the School Policing and Drug and Violence Prevention Battalion - BPRED of PM/RN.Announcem ent starting on: 11/04/2024 from 8:00 am to 12:00 pm and from 12:01 pm to 5:59 pmAddress: Rua Raimundo Chaves, Sn, Espaço Cultural de Natal - Lagoa Nova - - Natal (RN)Phone:Fax:Submission of Proposal: 11/04/2024 at 8:00 amlocal title:: Objeto: Pregão Eletrônico - Aquisição de 05 (cinco) viaturas tipo SUV caracterizadas para o Batalhão de Policiamento Escolar e Prevenção às Drogas e à Violência - BPRED da PM/RN. lot_details: 1: 1 - AUTO

Gt Ref Id - 96915195

Deadline - Nov 19, 2024

Share share

Similar Tenders :

Create Account

Why Us

3,00,000 +

Users

190 +

Countries Covered

5,00,000 +

Agencies Tracked

50,000 +

Notices Daily

90 Million +

Database