Lithuania-Vilnius: Repair and maintenance services of locomotives
Opportunity Score
Confidence: 35%
Complexity: medium
—
Deadline
services
Contract
Deep Portfolio Analysis
- Company fit score
- Missing certificates
- Eligibility blockers
- Bid / No-Bid recommendation
AI Analysis Summary
This is a restricted procedure Dynamic Purchasing System (DPS) for repair and maintenance services of locomotives, with an estimated value of EUR 30,000,000 and duration of 96 months. The tender is issued by AB 'Lietuvos geležinkeliai' (Lithuanian Railways) for services related to passenger rolling stock HVAC repair and spare parts. The structured data indicates two lots with different submission languages (English and Lithuanian), but lot-specific details are missing. The deadline for submission is 2031-02-06 13:00. The award criterion is 'the most economic tender' and the eligibility requires submission of an ESPD document. Inconsistencies exist between structured data (locomotives) and document text (passenger HVAC), and between flags (no DPS) and XML (DPS).
Strengths
Medium complexity
Risks
Restricted procedure — pre-qualification required
No procurement documents available
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
- Dynamic Purchasing System (DPS) with restricted procedure
- Two lots with different submission languages (English and Lithuanian)
- All lots must be bid (TY TYPE BID: Submission for all lots)
Buyer
Lots (2)
Lot 1: submission language English. No further details available from structured data or documents.
Lot 2: submission language Lithuanian. No further details available from structured data or documents.
Procurement Details
Publication
01 Jan 2023
Deadline
—
Procedure
restricted
Contract
services
Language
ENG, LIT
Publication #
864-2023
Classification
Opportunity Score
Confidence: 35%
Complexity: medium
—
Deadline
services
Contract
Deep Portfolio Analysis
- Company fit score
- Missing certificates
- Eligibility blockers
- Bid / No-Bid recommendation