France – Office furniture – Fourniture de mobiliers d'occasion
Opportunity Score
Confidence: 35%
Complexity: low
576 days
Deadline
supplies
Contract
Deep Portfolio Analysis
- Company fit score
- Missing certificates
- Eligibility blockers
- Bid / No-Bid recommendation
AI Analysis Summary
This is a Dynamic Acquisition System (DPS) for the supply of used furniture, divided into 6 categories (lots), published by the Département de la Manche, France. The DPS is fully electronic and allows continuous entry of new suppliers. The initial duration was 48 months but has been corrected to 24 months. The first specific competition deadline is 16 February 2026. The overall DPS deadline for applications is 12 January 2028. Only French language is accepted. No selection or award criteria are specified in the provided data. Estimated total value is 10,000 EUR (sum of lot estimates), but the structured data shows an inconsistent overall value of 2,000 EUR.
Strengths
Documents available
Low complexity
576 days left
Risks
Restricted procedure — pre-qualification required
Analysis may be incomplete
Only part of the procurement documentation was analyzed. Additional eligibility requirements, certificates, or submission documents may exist in the remaining tender documentation.
Key Requirements
- Electronic submission is required via the provided platform.
- Tenders must be submitted in French only.
- Participants must be able to supply used furniture in the respective categories.
Buyer
Name
Département de la Manche
Location
Saint-Lo, FRA
Website
Buyer profile
Identifier
63137
Lots (6)
Supply of used office furniture and small equipment.
Supply of used home furniture (sofas, bedside tables, etc.).
Supply of used school/nursery furniture.
Procurement Details
Publication
04 May 2026
Deadline
12 Jan 2028, 11:00
Procedure
restricted
Contract
supplies
Duration
48 MONTH
Language
FRA
Publication #
305399-2026
Classification
Performance: France
Documents (2)
Opportunity Score
Confidence: 35%
Complexity: low
576 days
Deadline
supplies
Contract
Deep Portfolio Analysis
- Company fit score
- Missing certificates
- Eligibility blockers
- Bid / No-Bid recommendation