Indian Navy T-Shirt V3 Procurement 2026 – Utility T-Shirt Specifications, IS/Standard Alignment in India

Tender Overview

The Indian Navy (Department Of Military Affairs) seeks supply of V3 T-Shirts (category: T-Shirt) with utility features including neck/sleeve variants, international letter-size guidance, and base fabric primary fiber selection. The procurement scope covers supply, installation, testing, and commissioning, with no BOQ items listed. The notice implies option-based quantity adjustments up to 50% during contract execution and extended delivery timelines tied to original/extended periods. Location details are not disclosed in the data, but the tender targets uniform-grade apparel for military use in 2026.

Technical Specifications & Requirements

• Product Category: T-Shirt (V3) for utility use; Type of Neck and Type of Sleeve unspecified in the data but must align with STC sizing guidance.
• Dimension: Size (International letter size) with reference to STC size chart for guidance.
• Material: Primary fiber material to be chosen by bidder for the base fabric; mass of material per area (gram per square meter) with ±5% tolerance.
• Design: Logo design specification required; no explicit branding constraints listed.
• Scope: Supply, Installation, Testing, Commissioning (SITC) of goods; no explicit quantity or unit price data in the BOQ.
• Additional notes: The Buyer's ATC/ATC document is uploaded; bidders should review it for any hidden requirements.

Terms, Conditions & Eligibility

• Scope: SITC of goods as part of the contract; no fixed BOQ quantity.
• Option Clause: Purchaser may increase/decrease quantity up to 50% of bid quantity; delivery period adjusted per formula with a minimum of 30 days.
• Delivery: Delivery timing tied to original and extended delivery periods; the clause allows extension up to original delivery period during option exercise.
• Compliance: Bidders must adhere to option clause conditions and ensure readiness for SITC activities; no explicit EMD amount or payment terms provided in the dataset.