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Logistics operations in India are becoming more connected through shared data, APIs, digital documents, tracking infrastructure and automation. These changes can make information easier to exchange and processes easier to coordinate, but they are not all AI—and the available official figures do not establish an India-wide AI adoption rate or prove how much AI has reduced costs.
How is AI changing logistics in India?
The clearest documented shift is broader digitization: public systems and logistics platforms are connecting data and services that used to sit in separate workflows. AI belongs in this wider technology picture, but it should not be treated as a synonym for e-way bills, shipment tracking, API connections or automated gates.
AI could be used to support prediction or operational decisions, but the official and institutional sources cited here do not establish how widely Indian logistics operators use it, which applications dominate, or what measurable service or cost improvements are attributable to it. A system can be digital or automated without using AI. Claims about AI’s effects therefore need evidence specific to the operator, use case and outcome.
What is the National Logistics Policy meant to change?
India’s National Logistics Policy (NLP), launched in 2022, sets a government framework for process reform, digitization, skills development and a more integrated logistics ecosystem. The policy describes itself as the “soft infrastructure” complement to PM GatiShakti’s integrated infrastructure planning. Its stated direction is a cost-efficient, resilient and sustainable logistics system, with priorities including digitization and automation across the value chain, better tracking, streamlined export-import (EXIM) processes and workforce skills.
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These are policy goals, not proof that the intended outcomes have already been achieved. A logistics-cost target or performance ambition must not be confused with a measured national result. NCAER’s 31 December 2024 publication, Framework for Assessment of Logistics Cost In India, sets out a method for estimating and tracking logistics costs; it is not a final national cost estimate.
The government’s 2022 launch materials also identified e-Sanchit, customs assessment, e-way bills, FASTag, GST and ULIP as technology-enabled initiatives relevant to logistics. They serve different functions, so grouping them all under “AI” obscures what each actually does.
What is ULIP in logistics?
The Unified Logistics Interface Platform (ULIP) is an API-based integration layer intended to connect logistics-related government systems and support logistics use cases. Its practical importance is data access: subject to platform access conditions, operators and service developers can build workflows using information and services that were previously distributed across government systems.
The Department for Promotion of Industry and Internal Trade (DPIIT) Annual Report 2024–25 describes ULIP as integrated with GSTN’s e-waybill system. It lists use cases including track-and-trace, gate automation, process digitization, transporter validation, financing and payments for transporters, green logistics, e-KYC and insurance claims. These examples describe platform-enabled applications; they do not show that every operator uses them or that each has delivered a quantified benefit.
Access is not simply a matter of connecting to an open, unrestricted data feed. The Press Information Bureau’s 14 September 2023 progress release says private-use-case access to API data requires due diligence and a non-disclosure agreement (NDA). Organisations considering an integration should check current access processes and the specific data available for their intended workflow.
How should ULIP transaction figures be read?
Two official snapshots report different totals and cutoffs. DPIIT’s 2024–25 annual report says ULIP had completed “68 Crore+ transactions” since January 2022. A Ministry of Commerce and Industry milestone release dated 16 September 2025 reports more than 160 crore digital transactions as of August 2025. Keep each figure with its reporting period and source: the snapshots are not, by themselves, a like-for-like measure of operational impact, cost savings or service quality.
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A separate National Logistics Data Services Limited (NLDSL) Annual Report 2024–2025 reports a platform-scale figure as of 31 March 2025: 43 systems from 11 ministries connected through 129 APIs covering more than 2,000 data fields. That describes the reported integration footprint, not the number of logistics movements improved or the financial benefit to users.
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How does shipment tracking work?
Shipment visibility depends on both digital systems and physical identification infrastructure. A tracking service needs a way to identify the shipment or asset, capture movement events, and make the resulting data available to users. An API or cloud platform can connect and display information, but it cannot independently observe an item moving through a facility if the necessary identification and event-capture infrastructure is absent.
The Logistics Data Bank (LDB) is a concrete EXIM container example. The Department of Commerce Annual Report 2023–24 describes it as a cloud-based visibility solution that uses container numbers to track cargo, supported by radio-frequency identification (RFID) infrastructure, the Internet of Things (IoT), big data and cloud tools. The report says it tracks movement across connected ports, inland container depots (ICDs), container freight stations (CFSs), toll plazas, railways and related facilities.
The same report states that LDB covered 100 percent of India’s EXIM container volume for the report period. That is a specific claim about EXIM containers within the report’s stated scope; it should not be extended to domestic parcels, every cargo type, or every logistics movement in India. Nor does it mean every shipment is continuously visible at every point in its journey.
Which digital tools do different jobs?
India’s logistics technology landscape is a set of complementary functions, not one interchangeable system. The examples below describe the functions documented by government sources; they are not a ranking of products.
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| Function | Documented example | What it contributes—and what it does not establish |
|---|---|---|
| Data integration | ULIP APIs connecting logistics-related government systems | Enables data and services to be used across connected workflows. Access conditions apply; an API connection alone does not prove a cost or service improvement. |
| EXIM container visibility | Logistics Data Bank, using container numbers, RFID infrastructure, IoT and cloud tools | Reports movement across connected facilities. Its cited coverage claim concerns EXIM containers, not all domestic or freight activity. |
| Digital documentation and process services | e-way bills, e-Sanchit and customs systems | Support digital documentation and process handling. Their presence does not mean the workflow uses AI. |
| Vehicle and toll-related services | FASTag-related services | Part of the wider set of technology-enabled initiatives identified in the 2022 launch materials; this does not make FASTag a general shipment-tracking system. |
| Workflow automation | ULIP use cases such as gate automation and process digitization | Can support automated steps when connected systems and operational processes are in place. The cited sources do not provide a common measured impact for these use cases. |
Are digital tools reducing logistics costs?
They can support more connected processes, better access to shipment information and less manual handling in particular workflows. But the cited sources do not provide a robust, quantified estimate of savings attributable to AI or digital tools across Indian logistics. Platform transaction totals, connected APIs and stated coverage are measures of activity or reach—not proof of lower end-to-end logistics costs.
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When evaluating a claimed benefit, ask what cost or service measure changed, which operation and period were measured, what comparison was used, and whether the result isolates the tool’s effect from other changes. For a proposed platform or tracking system, also examine:
- Function: Is it for data integration, visibility, documentation, identification or automation?
- Data access: Which sources and fields are available, and what approvals or agreements are required?
- Coverage: Does it cover the relevant cargo, vehicles, facilities and geography?
- Infrastructure: Does the workflow depend on APIs, RFID or other equipment being deployed at the right locations?
- Evidence: Are claimed savings or service improvements measured for a comparable operation, rather than inferred from platform scale?
For a warehouse or logistics workflow that genuinely requires RFID, a UHF RFID reader may be relevant. Check that its standards, read range, operating environment and integration compatibility match the system. The government sources do not endorse a particular reader or establish that every operator needs one.
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