Logistics Data Bank (LDB)


Logistics Data Bank (LDB)


Why in News :

  • Logistics Data Bank (LDB) 2.0 was launched by Union Commerce and Industry Minister Shri Piyush Goyal on the occasion of the Make in India decade-long celebrations.
  • LDB 2.0 is an advanced logistics tracking platform.
  • It enables deep-sea export container tracking along with improving multi-modal shipment visibility.
  • It also provides railway FNR through integration with the Unified Logistics Interface Platform (ULIP) API.

Background

  • Launch: July 2016.
  • Operation: Managed by NICDC Logistics Data Services Ltd. (NLDSL).
  • Objective: To establish an integrated IT platform for container logistics in India.
  • RFID-based container tracking : a Radio-Frequency Identification (RFID) tag is affixed to every container.

Significance and Impact :

  • It provides assistance to MSMEs (Micro, Small, and Medium Enterprises) and exporters.
  • It strengthens India’s global supply chain.
  • It aids stakeholders and policymakers in identifying imbalances and proactively addressing potential bottlenecks in the logistics system.
  • It contributes to creating a logistics ecosystem that is transparent, data-driven, and globally competitive.
  • It supports the objectives of the National Logistics Policy (2022) and the PM Gati Shakti initiative.
  • It has contributed to India’s improved ranking (38) in the World Bank’s Logistics Performance Index (LPI).
  • It enhances the Ease of Doing Business by reducing clearance time and increasing port efficiency.

NICDC Logistics Data Services Limited (NLDSL) :

  • Establishment: December 30, 2015.
  • It is a Joint Venture between the Government of India (National Industrial Corridor Development and Implementation Trust – NICDIT) and the Japanese IT major NEC Corporation.
  • Functions
  • Logistics Sector Improvement: To make the logistics ecosystem more efficient and transparent.
  • End-to-End Tracking:
  • To provide tracking facilities to importers, exporters, and logistics operators
  • To help them identify delays in the supply chain.
  • Data Analytics:
  • To report on key performance indicators such as Turnaround Time (TAT), Dwell Time, and Port Performance
  • To provide valuable inputs to the government for policy formulation and reforms.

 

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