Unified Logistics Interface Platform (ULIP)

Sept. 26, 2024

Recently, NICDC Logistics Data Services Ltd. (NLDSL) announces the launch of Unified Logistics Interface Platform Hackathon 2.0.

 Why in the news?

  • Hackathon 2.0 is a competitive event, aimed at fostering innovation and developing digital solutions to tackle pressing challenges in the logistics industry.
  • It invites developers, start-ups, and industry players to come together.
  • The focus of this year's hackathon is on addressing key logistics challenges such as sustainability, complex supply chain processes, unified documentation, and multimodal logistics optimization.

About Unified Logistics Interface Platform:

  • ULIP is a digital gateway that allows industry players to access logistics-related datasets from various Government systems through API-based integration.
    • Currently, the platform integrates with 37 systems from 10 ministries via 118 APIs, covering over 1800 data fields.
  • It was launched by the Prime Minister as part of the ‘National Logistics Policy (NLP)’ on September 17, 2022.
  • objectives:
    • To create a nationwide single window logistics platform for end-to-end visibility.
    • To develop a logistics gateway by integrating information available with various Govt. agencies across the value chain.
    • To provide visibility for optimal usage of various modes of transportation.
    • To provide data which can be utilized by the stakeholders for simplification of complicated processes like compliance, document filing, certifications, and approvals.
    • To offer a platform for data exchange among government and private entities who are directly or indirectly involved in the Indian Logistics ecosystem.
  • Benefits:
    • It will give direct and indirect benefits to all logistics stakeholders like verification of drivers and vehicle details, tracking & tracing of consignment, Route Optimization Planning and timely update on the destination of the consignment etc.
    • It will enable structured planning by helping in decision making on optimum use of modes of logistics thereby saving cost and time.