Latvia – Light vans – Jaunu elektrisko kravas mikroautobusu iegāde
Opportunity Score
Confidence: 40%
Complexity: low
14 days
Deadline
supplies
Contract
Deep Portfolio Analysis
- Company fit score
- Missing certificates
- Eligibility blockers
- Bid / No-Bid recommendation
AI Analysis Summary
This tender by Latvijas Pasts (Latvian Postal Service) is for the purchase of new electric vans (light vans). The estimated value is €360,000 (EUR). The procedure is open, non-framework, non-DPS, with submission via electronic means only. The official language is Latvian. The deadline for submissions is 2026-06-29 at 08:00 UTC (note minor time inconsistencies in the XML notice). Award criteria are price (70%) and quality (30%). Only one lot is fully described; five other lots appear in the structured data with minimal information, suggesting a possible data extraction issue.
Strengths
Documents available
Open procedure
Low complexity
Risks
Submission deadline in 14 days
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
- Electric vans (CPV 34136100)
- Tenderers must submit via EIS electronic system
- Tenders must be in Latvian
Award Criteria
Vienas automašīnas cena EUR bez PVN (P)
Vienas automašīnas cena EUR bez PVN (P)
| Criterion | Type |
|---|---|
Vienas automašīnas cena EUR bez PVN (P) Vienas automašīnas cena EUR bez PVN (P) | Price |
Buyer
Name
Valsts akciju sabiedrība "Latvijas Pasts"
Location
Mārupes novads, LVA
Website
Identifier
40003052790
Lots (1)
Purchase of new electric vans. The delivery period is 9 months. Place of performance: Mārupes novads, Latvia.
Procurement Details
Publication
21 May 2026
Deadline
29 Jun 2026, 08:00
Procedure
open
Contract
supplies
Duration
9 MONTH
Language
LAV
Publication #
350645-2026
Classification
Performance: Latvia
Documents (2)
Opportunity Score
Confidence: 40%
Complexity: low
14 days
Deadline
supplies
Contract
Deep Portfolio Analysis
- Company fit score
- Missing certificates
- Eligibility blockers
- Bid / No-Bid recommendation