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India needs to embrace new tech, AI can save ₹20,000 cr in cargo handling: EAC-PM member


What Happened

  • Gourav Vallabh, a member of the Economic Advisory Council to the Prime Minister (EAC-PM), stated that adopting artificial intelligence in port cargo handling could save India approximately Rs 20,000 crore annually, with an additional Rs 15,000 crore per year in broader logistics cost savings.
  • The statement was made in the context of India's broader push to modernise its port and logistics sector and reduce logistics costs — currently estimated at 13-14% of GDP, compared to 8% in advanced economies.
  • AI applications identified for ports include: predictive maintenance of equipment, intelligent berth scheduling, automated cargo tracking and container management, route optimisation, and throughput forecasting at major container terminals.
  • The flagship ports named for AI-led modernisation are JNPT (Jawaharlal Nehru Port Trust, Maharashtra), Chennai Port, and Visakhapatnam Port — which collectively dominate India's container cargo volumes.
  • The push for AI in ports connects to the Sagarmala Programme (Ministry of Ports, Shipping and Waterways) and PM GatiShakti's multimodal logistics goals.

Static Topic Bridges

Sagarmala Programme and India's Maritime Modernisation

The Sagarmala Programme, launched in March 2015 under the Ministry of Ports, Shipping and Waterways, is the flagship initiative for port-led development. Its four pillars are: (1) Port Modernisation and New Port Development — capacity expansion and efficiency improvements at major ports; (2) Port Connectivity Enhancement — rail, road, and waterway links to ports; (3) Port-Led Industrialisation — industrial clusters in coastal economic zones; (4) Coastal Community Development — livelihood and skill development for fishing and coastal communities. Under Sagarmala, nine Indian ports now rank in the world's top 100, with Visakhapatnam in the top 20 container ports globally. Average vessel turnaround time at major ports has declined from 4.67 days in 2014 to approximately 2.5-3 days by 2025.

  • Sagarmala: Launched March 2015; Ministry of Ports, Shipping and Waterways
  • Four pillars: Port modernisation, connectivity, port-led industrialisation, coastal communities
  • Ports Authority of India (MPA): Major Ports Authority Act 2021 replaced Major Port Trusts Act 1963 — gave ports greater autonomy
  • Vessel turnaround: Improved from 4.67 days (2014) to ~2.5-3 days (2025)
  • Nine Indian ports: Top 100 globally; Visakhapatnam: Top 20 container ports
  • Budget 2026-27: Continued allocation for Sagarmala port connectivity projects

Connection to this news: AI adoption in cargo handling is positioned as the next phase of Sagarmala's port modernisation pillar — building on physical infrastructure investments to capture efficiency gains through digital and algorithmic optimisation.

EAC-PM: Role and Mandate

The Economic Advisory Council to the Prime Minister (EAC-PM) is a non-constitutional, advisory body constituted by the Union government to provide independent economic advice to the Prime Minister on current and emerging economic issues. It is not a statutory body and has no decision-making authority — its role is purely advisory. Members are eminent economists, policy experts, and domain specialists, appointed in their personal capacity. EAC-PM's outputs include thematic reports, policy notes, and public statements on economic strategy. The council advises on macro-economic policy, sectoral reforms, and emerging technology issues — as evidenced by the AI-in-logistics statement in this case.

  • EAC-PM: Non-constitutional, advisory body; no statutory basis
  • Composition: Part-time members (economists, experts); appointed by PMO
  • Chair: Full-time Chairman (typically a senior economist)
  • Function: Independent analysis; does NOT implement policy or control budgets
  • Distinction: Different from NITI Aayog (planning/policy coordination body with statutory-like structure)
  • Distinction: Different from Finance Commission (constitutional body, Article 280)

Connection to this news: EAC-PM member Vallabh's statement on AI savings in ports is an advisory nudge to the government on where AI investment has the highest measurable return — the Rs 20,000 crore figure likely draws from operational research on JNPT's container dwell times and VISAKHAPATNAM's cargo misrouting costs.

India's Logistics Sector and PM GatiShakti

India's logistics cost at 13-14% of GDP ($250+ billion annually) is the highest among major economies — a structural competitiveness disadvantage for manufacturing and exports. PM GatiShakti National Master Plan (launched October 2021) addresses this by integrating infrastructure planning across 16 ministries on a single geospatial platform, ensuring that roads, railways, ports, airports, and multimodal logistics hubs are planned in coordination rather than silos. The National Logistics Policy (NLP), launched September 2022, targets: reducing logistics cost to 8% of GDP by 2030; improving India's rank in the World Bank's Logistics Performance Index (LPI — ranked 38th in 2023, up from 54th in 2014); and developing a Unified Logistics Interface Platform (ULIP) for real-time freight tracking across modes.

  • India logistics cost: 13-14% of GDP (~$250 billion/year); target: 8% by 2030
  • National Logistics Policy: Launched September 2022; PM GatiShakti backbone
  • ULIP (Unified Logistics Interface Platform): Digital freight tracking across all modes; under DPIIT
  • World Bank LPI 2023: India ranked 38th (up from 54th in 2014)
  • JNPT: Handles ~55% of India's container trade; 7.5 million TEUs/year (approx.)
  • AI savings potential: Rs 20,000 crore in cargo handling + Rs 15,000 crore in logistics (EAC-PM estimate)

Connection to this news: The EAC-PM's Rs 20,000 crore AI savings estimate, if implemented through ULIP, port automation, and AI-assisted freight planning, could contribute a significant fraction of the logistics cost reduction needed to hit India's 8% of GDP target — making this advisory statement part of a wider government strategy.

Key Facts & Data

  • AI savings in port cargo handling: Rs 20,000 crore/year (EAC-PM estimate)
  • AI savings in broader logistics: Rs 15,000 crore/year (additional)
  • EAC-PM member cited: Gourav Vallabh
  • India logistics cost: 13-14% of GDP (target: 8% by 2030)
  • Key ports for AI: JNPT (Maharashtra), Chennai, Visakhapatnam
  • JNPT: ~55% of India's container trade; ~7.5 million TEUs/year
  • Sagarmala Programme: Launched 2015; Ministry of Ports, Shipping and Waterways
  • National Logistics Policy: September 2022; targets 8% logistics cost by 2030
  • World Bank LPI 2023: India ranked 38th
  • AI applications: Predictive maintenance, berth scheduling, container management, route optimisation