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GIS for Logistics and Fleets: Routes, Hubs and Live Visibility

Logistics is a business of distance, time and place. Every rupee a shipper or fleet operator spends is shaped by where hubs sit, which roads trucks take, how long vehicles wait at a gate and how often they return empty. Spreadsheets record these facts but rarely show how they connect on the ground. GIS puts depots, customers, routes, vehicles and delivery events on one live map, so planners can test a new hub, rebalance a route or catch a stalled truck while there is still time to act, not after the month closes.

Live TrackingData AnalysisGeo-Business IntelligenceMonitoring SystemsMachine LearningMobile GISWebGIS
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What the evidence shows

28-43%[4]

Share of truck distance run empty in India

NITI Aayog and RMI estimate this against 13 to 29% in the USA. Backhaul matching and route analytics target this gap directly.

~70%[4]

Fuel share of a heavy truck's total cost of ownership

For a 31-tonne diesel truck, fuel dominates ownership cost, so every kilometre removed through better routing and less idling flows straight to margin.

250-400 km[4]

Average daily distance covered by an Indian truck

This compares with about 500 km in BRICS peers and 700 to 800 km in the USA and Europe. Visibility into dwell and idle time helps lift daily utilisation.

7.97% of GDP[1]

India's estimated logistics cost

The NCAER assessment for DPIIT gives operators a national benchmark against which cost per tonne-km improvements can be measured.

~1,700 layers[3]

Geospatial data layers on the PM GatiShakti NMP

Government infrastructure planning already runs on GIS, giving logistics firms a reason to plan their own networks on the same spatial footing.

India's logistics landscape: lower cost targets, a road-heavy network and a push for data

A national assessment prepared by NCAER for DPIIT and released in September 2025 put India's logistics cost at about 7.97% of GDP, replacing the commonly quoted 13 to 14% figure that came from partial studies. The same report estimates freight cost per tonne-kilometre by mode and notes that cost growth has slowed relative to non-services output, crediting programmes such as PM GatiShakti, the Dedicated Freight Corridors and the Unified Logistics Interface Platform (ULIP).

The National Logistics Policy, launched in September 2022, aims to bring costs to global benchmarks, place India in the top 25 of the World Bank Logistics Performance Index by 2030 and build a data-driven decision support system. India ranked 38 of 139 countries in the 2023 LPI. By August 2025 ULIP had integrated more than 30 digital systems and handled over 160 crore transactions, while the state-level LEADS index now scores corridor access, terminal speed and sustainability.

Planning itself has become geospatial. The PM GatiShakti National Master Plan is a GIS platform with about 1,700 mapped data layers from 57 central ministries and departments and 36 States and UTs, and 293 infrastructure projects worth Rs 13.59 lakh crore had been evaluated through its Network Planning Group by August 2025. Freight remains road-heavy: NITI Aayog and RMI estimate that around 71% of freight moves by road, carried mostly by a fragmented trucking market.

The challenges

Where productivity is lost today

01

Empty running and low truck utilisation

NITI Aayog and RMI estimate Indian trucks run empty for 28 to 43% of their distance and cover 250 to 400 km a day, against about 500 km in BRICS peers. Every empty kilometre burns diesel and driver hours without revenue, and low daily utilisation stretches the payback on newer, more efficient vehicles.

Solved by

02

Fuel as the dominant cost line

Fuel accounts for about 70% of the total cost of ownership of a 31-tonne diesel truck, according to the same NITI Aayog and RMI analysis. Detours, idling at loading points, unplanned stops and poorly sequenced multi-drop routes therefore hit margins directly, yet most operators cannot see which trips or lanes are wasting fuel.

Solved by

03

A fragmented carrier base with little visibility

Around 75% of India's trucking market is run by small owner-operators with up to five trucks, and only about 10% by fleets of more than 20. Shippers working across many small carriers get patchy status updates by phone, which makes delay detection, detention claims and capacity planning slow and argument-prone.

Solved by

04

Hub and warehouse locations chosen without network evidence

Warehousing in India is also fragmented, with unorganised players holding about 90% of the market and few sites well connected to highways and multiple modes. A depot placed by land price alone can add kilometres to every outbound trip for years, a cost that only a network-level view of demand and travel time reveals.

Solved by

05

Weak proof of delivery and last-mile disputes

Paper challans and phone confirmations leave gaps on when and where goods were actually handed over. Failed attempts, wrong-address deliveries and disputed receipts drive re-delivery cost, slow invoicing and weaken service level reporting to large customers, particularly in dense urban areas with poor addressing.

Solved by

06

Perishables lost between farm, store and market

A MoFPI-commissioned NABCONS study (reference years 2020 to 2022) estimated post-harvest losses of 6.02 to 15.05% for fruits and 4.87 to 11.61% for vegetables, attributing much of it to inefficient handling, storage and transportation. Cold chain operators need temperature and location data together to know where product is at risk.

Solved by

How GLOBEIR helps

Business needs and how we solve them

Each solution starts from a need Logistics & Fleet Management faces today, then shows how GLOBEIR delivers it and what changes as a result.

01 · The business need

Shippers and large customers now expect status on demand, and the National Logistics Policy is pushing the whole system toward digital visibility: by August 2025 ULIP linked more than 30 digital systems. Fleet desks that still confirm location by phoning drivers or small transporters cannot match that standard, and they learn about delays and detention only after a customer complains.[2]

Live Tracking

Live fleet tracking and geofenced trip events

GLOBEIR builds tracking platforms that ingest GPS feeds from AIS-140 compliant devices, telematics units and driver phones, and show every vehicle on a single web map. Geofences around plants, depots, customer gates and toll plazas turn raw pings into trip events: arrival, dwell, departure, route deviation and unscheduled halt. Alerts reach the control room and the customer without a phone call.

  1. 1Audit existing GPS, AIS-140 and telematics feeds and connect them to one platform.
  2. 2Draw geofences for plants, depots, customer gates and agreed halt points.
  3. 3Configure trip-event rules and alerts, then train the control room on exception handling.

The result

Control teams spot delays and detention as they happen and act on exceptions instead of chasing status updates.

02 · The business need

Diesel is the largest controllable cost in road freight, at about 70% of a heavy truck's total cost of ownership, so every extra kilometre or idle hour goes straight to the bottom line. Manual route sheets and dispatcher memory cannot balance delivery windows, vehicle capacity, city entry rules and backhaul options across a whole fleet every day.[4]

Data Analysis

Route optimisation and network analysis

Using road network data, historical trip times and delivery windows, GLOBEIR models drive-time, multi-stop sequencing and vehicle allocation for primary, secondary and last-mile runs. Planners can compare the current route plan against an optimised one, test backhaul pairings to cut empty legs, and see how restrictions such as city no-entry hours change the best plan.

  1. 1Build a routable road network with restrictions, speeds and client delivery windows.
  2. 2Model current routes against optimised plans and backhaul pairings using trip history.
  3. 3Hand planners a scenario tool and a daily route plan they can adjust.

The result

Fewer kilometres per delivery and better load pairing, which lowers fuel spend on each tonne moved.

03 · The business need

Network planning is moving to a geospatial footing. The LEADS 2024 release called on States to prepare regional and city-level logistics plans for last-mile connectivity, and new logistics parks and corridors keep changing which locations are best. Choosing depots by land price or habit misses these shifts and locks in extra outbound kilometres for years.[8]

Geo-Business Intelligence

Hub, warehouse and dark-store location planning

GLOBEIR combines customer and order locations, drive-time catchments, highway and rail access, industrial clusters and infrastructure layers of the kind mapped on PM GatiShakti to score candidate sites for depots, cross-docks and micro-fulfilment centres. Scenario maps show how service coverage, average lead distance and outbound cost shift when a site is added, moved or closed.

  1. 1Map order density, customer locations and drive-time catchments across the service area.
  2. 2Overlay highway, rail, logistics park and restriction layers on candidate sites.
  3. 3Score sites and present add, move or close scenarios with cost comparisons.

The result

Network decisions rest on measured travel time and demand density rather than land price or habit.

04 · The business need

Perishable and high-value cargo needs proof that it stayed in condition, not just that it arrived. MoFPI's NABCONS study put fruit losses at 6.02 to 15.05%, with handling, storage and transport among the causes. Temperature loggers read after the trip, or fuel checks done monthly, find problems too late to save the load or recover the cost.[10]

Monitoring Systems

Fleet and cold chain monitoring dashboards

GLOBEIR delivers dashboards that join location with operational sensors: fuel level, engine idling, reefer temperature and door status. Managers see utilisation by vehicle, empty-running share by lane, idle hours by site and temperature excursions by route, with drill-down from a regional summary to a single trip replay on the map.

  1. 1Join reefer, door and fuel sensor data to vehicle location in one data store.
  2. 2Design dashboards for utilisation, idling, empty running and temperature excursions by route.
  3. 3Set thresholds and alerts, and review exceptions with operations teams each week.

The result

Managers find the vehicles, lanes and sites that waste fuel or put perishable stock at risk, week by week.

05 · The business need

Volumes swing with seasons, festivals and promotions, and customers now judge carriers on reliable delivery promises. Policymakers are urging the sector to use AI, machine learning and data analytics, as highlighted at the LEADS 2024 release. Planning capacity from last year's averages leaves trucks idle in slack weeks and short in peak weeks, and fixed ETAs ignore real corridor speeds.[8]

Machine Learning

Demand forecasting and ETA prediction

GLOBEIR's data science team trains models on order history, seasonality, festival calendars and location features to forecast volumes by pin code, depot or lane. Trip histories feed ETA models that learn real speeds by corridor and time of day, so customer promises and dock schedules reflect observed conditions instead of fixed averages.

  1. 1Clean order and trip history and attach location and calendar features.
  2. 2Train and validate demand and ETA models by pin code, lane and depot.
  3. 3Feed forecasts into dashboards and planning tools, and retrain them on a schedule.

The result

Fleet and warehouse capacity is placed ahead of demand, and delivery promises become more reliable.

06 · The business need

Large customers increasingly link payment and penalties to service levels, so a delivery that cannot be proven is a delivery that may not be paid. Paper challans travel back slowly, get lost, and carry no reliable time or place, which delays invoicing and leaves the operator weak in disputes over failed or short deliveries.

Mobile GIS

Proof of delivery and field capture on mobile

Through the My GLOBEIR mobile app, drivers and delivery staff capture geotagged, time-stamped photos, signatures, reason codes for failed attempts and damage notes at the point of handover. Each record is checked against the customer geofence, which helps settle disputes, and the coordinates collected gradually improve the address database.

  1. 1Configure My GLOBEIR forms for photo, signature, reason codes and damage notes.
  2. 2Validate each capture against the customer geofence and time window automatically.
  3. 3Sync records to the portal and finance systems for faster invoicing and dispute review.

The result

Faster invoicing and fewer delivery disputes, with a location-verified record for every drop.

07 · The business need

Logistics performance is now measured and benchmarked: the National Logistics Policy targets a top 25 place in the World Bank LPI by 2030 and a data-driven decision support system. Shippers, transporters and customers working from separate spreadsheets and phone updates spend time reconciling versions instead of acting on one shared picture of consignments and assets.[2]

WebGIS

Shared logistics control-tower portal

GLOBEIR develops browser-based WebGIS portals where shippers, transporters and customers see the same map of consignments, depots and service areas, each with role-based access. The portal can hold reference layers such as highways, logistics parks, ICDs and congestion zones, giving planning and operations teams one common picture.

  1. 1Agree user roles, shared layers and the data each partner will see.
  2. 2Build a browser-based WebGIS portal with consignments, depots, service areas and reference layers.
  3. 3Connect live feeds and train partner teams on daily use of the portal.

The result

Less reconciliation between partners, because everyone works from the same live, location-based record.

In depth

Problem, solution, benefits and data security, topic by topic

Each topic below explains the evidence, the business problem it creates, how GLOBEIR solves it, the benefits to your organisation, and how your data stays private and secure.

  1. 1. Multimodal Logistics
  2. 2. Fleet and Freight Routing

1. Multimodal Logistics

  • Unified Logistics Interface Platform (ULIP). Launched under the National Logistics Policy in September 2022, ULIP connects 43 systems from 11 ministries through 129 APIs. By March 2025 it had 1,300+ registered companies and 100 crore+ API transactions [11], bringing cargo and vehicle movement data together for tracking and route analysis.
  • FASTag. Each electronic toll transaction records a vehicle passing a known location, creating movement data for freight analytics. An NHAI impact study reported to Parliament found average waiting time at toll plazas fell from 734 seconds to 47 seconds [12].

Business problem

  • Logistics companies place warehouses and hubs by experience rather than by drive-time and demand analysis, locking in higher transport costs for years.
  • Cargo and vehicle data sits in many separate systems; ULIP alone connects 43 systems from 11 ministries [11], and few operators turn this data into network decisions.
  • Without a map of where demand and delays actually occur, operators cannot compare routes, modes or facility locations objectively.

Our solution

  • Hub, warehouse and depot location analysis using drive-time catchments and demand mapping.
  • Integration of shipment, tracking and toll-transaction data onto one GIS base, with heat maps of demand, delay and dwell time.
  • Network dashboards for logistics managers through WebGIS.

Benefits

  • Facility locations chosen on evidence, lowering long-term transport cost.
  • A single view of freight flows across modes and partners.
  • Faster movement where digital data is used well; FASTag cut average toll-plaza waiting time from 734 to 47 seconds (industry example) [12].
  • Better use of national digital logistics infrastructure such as ULIP, which has 1,300+ registered companies (industry example) [11].

Privacy & data security

  • Data involved: shipment details, customer delivery addresses and vehicle movement records, which can reveal commercial patterns and, through addresses, personal data under the DPDP Act [13].
  • Data minimisation: network and catchment analysis runs on aggregated or pseudonymised movement data; individual customer identities are not needed.
  • Purpose limitation: client data is used only for the agreed analysis and is never sold, shared or used to train models for other clients.

2. Fleet and Freight Routing

UPS ORION is the best-known proof of route optimisation. Once fully deployed in the US, UPS expected it to cut 100 million miles and 10 million gallons of fuel a year, reduce CO₂ by 100,000 tonnes, and save more than USD 300 million a year. Routes had already been shortened by 6–8 miles each [14].

Business problem

  • Fuel and driver time are the largest controllable costs for freight, delivery and service fleets, yet many fleets still plan routes manually.
  • Without live tracking, managers cannot see idling, detours, over-speeding or unauthorised use until costs appear on the fuel bill.
  • Tracking drivers raises legitimate privacy concerns: a driver's location trail is personal data under the DPDP Act [13], so tracking must be transparent and limited to work.

Our solution

  • Live Tracking of vehicles through GPS devices or the My GLOBEIR app, with geofences, over-speed, idle and route-deviation alerts.
  • Route planning and stop sequencing to reduce distance and time per delivery.
  • Trip analytics: distance, fuel, idle time and on-time performance by vehicle, depot and route.
  • Opt-in, work-hour tracking for app users, with a persistent notification whenever background tracking is on.

Benefits

  • Lower distance, fuel and idle time per trip; UPS expected ORION to save 100 million miles and 10 million gallons of fuel a year (industry example) [14].
  • Better on-time performance and customer communication.
  • Faster detection of misuse, unsafe driving and route deviation.
  • Lower emissions as a direct result of shorter routes.

Privacy & data security

  • Data involved: vehicle trails, driver identities, duty hours and delivery addresses.
  • Opt-in and work purpose: app-based tracking is optional and opt-in with a persistent notification, and location is captured for work purposes, in line with the DPDP Act's requirement for specific, informed consent limited to the stated purpose [13].
  • Role-based visibility: drivers, depot supervisors and fleet managers each see only what their role requires, with audit logs of access.
  • Secure and in India: TLS 1.2 or higher in transit and AES-256 at rest on ISO 27001 / SOC 2-certified cloud infrastructure in India, or on the client's own servers.

How a project runs

From first data to daily decisions

  1. 1

    Network and data audit

    GLOBEIR maps current depots, customers, lanes and vehicles, and reviews the available data: GPS feeds, ERP or TMS trip records, order history and proof of delivery. Gaps such as missing coordinates or unclean addresses are listed and prioritised.

  2. 2

    Geocoding and base layers

    Customer and site addresses are geocoded and validated, and road network, administrative boundaries, logistics infrastructure and restriction zones are assembled into a clean spatial database that every later analysis can reuse.

  3. 3

    Tracking and geofence integration

    Device and telematics feeds are connected to the platform, geofences are drawn for plants, depots and key customers, and trip-event rules are agreed so arrival, dwell, deviation and halt alerts mean the same thing to every team.

  4. 4

    Analysis and scenario modelling

    Route optimisation, utilisation and empty-running analysis, and hub location scenarios are run on the cleaned data. Results are presented as maps and cost comparisons that operations and finance can review together before any change is made.

  5. 5

    Dashboards, mobile rollout and review

    Monitoring dashboards and the mobile proof-of-delivery workflow go live, starting with a pilot region. KPIs are baselined and reviewed monthly, and models such as ETA and demand forecasts are retrained as more trip data builds up.

Data we work with

  • AIS-140 VLT and telematics GPS feeds

    Vehicle positions, speed, ignition and alert data that drive live tracking, trip events and utilisation analysis.

  • PM GatiShakti National Master Plan layers (where access permits)

    Government-mapped highways, rail, ports, logistics parks and economic nodes that inform corridor and hub planning.

  • OpenStreetMap and commercial road networks

    Routable road graphs with road class and restrictions for drive-time, sequencing and catchment analysis.

  • Client ERP, TMS and WMS records

    Orders, shipments, trip sheets and inventory that supply the demand, cost and service history behind every model.

  • Census and administrative boundaries with pin code areas

    Population and boundary layers for demand estimation, territory design and service area reporting.

  • Logistics Data Bank and ULIP-linked data

    Container and multimodal status information, available through government platforms, that can enrich EXIM visibility.

  • Mobile proof-of-delivery captures

    Geotagged photos, signatures and failure reasons from the field that verify delivery and refine customer coordinates.

  • Reefer and fuel sensor readings

    Temperature, door and fuel-level data linked to location for cold chain and fuel-loss monitoring.

KPIs you can track

  • Empty running as a share of total kilometres, by lane
  • Average daily kilometres per vehicle (utilisation)
  • Fuel cost per tonne-km or per delivery
  • On-time-in-full delivery rate
  • Average dwell time at plants, depots and customer gates
  • First-attempt delivery success rate
  • Proof-of-delivery turnaround time to invoice
  • Temperature excursion minutes per cold chain trip

Privacy & data security

How we keep your data private and secure

Transport data shows where people and vehicles go. A driver's trail reveals working hours and routines, crash records hold details of victims, cameras capture number plates, and high-resolution corridor and port data can be security-sensitive. GLOBEIR designs transport GIS so that tracking is transparent, limited to work purposes and visible only to those who need it, and so that sensitive mapping data stays in India.

Regulations we design for

  • Digital Personal Data Protection Act 2023: location traces, geotagged photos and customer records about an identifiable individual are personal data (s.2(t)); consent must be free, specific, informed, unconditional, unambiguous and limited to the data needed for the purpose (s.5, s.6); the organisation remains responsible for its processors (s.8) [13].
  • DPDP Rules 2025: notified 13 November 2025 with phased commencement; security, breach notification and rights provisions apply after 18 months (around May 2027). Breaches must be notified to the Data Protection Board, with a detailed report within 72 hours [15].
  • CERT-In Directions (28 April 2022): report listed cyber incidents, including data breaches and unauthorised access, to CERT-In within 6 hours, and keep logs of ICT systems for a rolling 180 days within Indian jurisdiction [16].
  • CMVR Rule 125H: public service vehicles must have a vehicle location tracking device and emergency buttons; mandatory for vehicles registered after 1 January 2019, with older vehicles as notified by States/UTs [17].
  • DST Guidelines on Geospatial Data (2021): finer-than-threshold data must be created and owned by Indian entities and stored and processed in India; terrestrial mobile mapping and street-view surveys are reserved for Indian entities [18]. A 2022 DST clarification adds that such data must never reach servers of any non-Indian entity [19].
  • MeitY GI Cloud (MeghRaj) guidelines: advisory procurement guidelines for government cloud, requiring all data processing within India [20].

How GLOBEIR protects your data

Safeguard How it works
Opt-in driver and staff tracking Background tracking in the My GLOBEIR app is optional and opt-in, with a persistent notification while it runs
Work-purpose limitation Location is captured for work purposes; client data is used only for the agreed purpose and never sold, shared or used to train models for other clients
Role-based visibility Separate roles for field, supervisor, depot/region and head office users, with audit logs of access and changes
Encryption TLS 1.2 or higher in transit and AES-256 at rest
Hosting in India ISO 27001 / SOC 2-certified cloud infrastructure in India
Deployment choice GLOBEIR-managed India-hosted cloud, client's own cloud or data centre, MeitY-empanelled government cloud, on-premise, or air-gapped for high-security sites
Data minimisation Blackspot, congestion and network analysis run on masked, pseudonymised or aggregated data
Retention and deletion Data exported and deleted at the end of the engagement or on request; account deletion requests completed within 30 days

Your data, your control

  • You own your data: network, asset, crash, tracking and survey data remain yours.
  • Your data is used only for the agreed purpose, and GLOBEIR's design helps you meet your DPDP Act obligations.
  • Choose your deployment: India-hosted cloud, your own cloud or data centre, MeitY-empanelled government cloud for government clients, on-premise, or air-gapped where security requires.
  • At the end of the engagement, your data is exported to you and deleted from GLOBEIR systems.
  • GLOBEIR will sign an NDA, follow your information-security policies and support your security audits and vendor assessments.
  • Privacy questions: privacy@globeir.com.

Frequently asked questions

Do we need new tracking hardware to start?

Usually not. GLOBEIR can work with the GPS and telematics feeds you already have, including AIS-140 compliant devices, OEM telematics and smartphone location from drivers. The first step is an audit of what each source reports and how often. Where coverage is thin, for example with hired market vehicles, phone-based tracking or carrier data sharing can fill gaps before any hardware decision.

How is GIS route optimisation different from a navigation app?

A navigation app finds a good path for one vehicle to one destination. Route optimisation plans a whole day or week for many vehicles and stops at once, respecting capacities, delivery windows, driver hours and city entry rules. It also uses your own trip history, so planned times reflect how your fleet actually moves on those corridors.

Can GIS help us decide where to open a new warehouse or hub?

Yes. GLOBEIR maps where your orders and customers are, measures drive-time from candidate sites, and overlays highway, rail and logistics park access. Each scenario shows service coverage, average outbound distance and estimated transport cost, so site selection is compared on network performance and not only on rent or land availability.

What is AIS-140 and why does it matter for tracking?

AIS-140 is the automotive standard used by MoRTH for vehicle location tracking devices and emergency buttons, with devices registered and activated in VAHAN. It is mandated for public service vehicles registered from January 2019, and state rules differ for other categories. Standard devices give a consistent data feed, which makes them easier to bring into one monitoring platform.

How does mobile proof of delivery reduce disputes?

Each handover is recorded with a photo, signature, time stamp and GPS position, and checked against the customer's geofence. When a receiver questions a delivery, the record shows where and when it happened. The same captures speed up invoicing and, over time, correct poorly addressed customer locations in your master data.

Learn the methods behind this

Network Analysis and Routing in GISSpatial Statistics and Hotspot AnalysisWhat is Web GIS? Maps as Living SoftwareGIS vs GPS vs Remote SensingGeoAIGIS APIs and Developer Tools

Sources

  1. [1]Union Minister of Commerce and Industry launches report on Assessment of Logistics Cost in India · Press Information Bureau, Ministry of Commerce and Industry (DPIIT), 2025
  2. [2]India Marks Three Years of National Logistics Policy: Transforming India's Supply Chain Ecosystem · Press Information Bureau, Ministry of Commerce and Industry (DPIIT), 2025
  3. [3]PM GatiShakti National Master Plan Evaluates 293 Infrastructure Projects Worth Rs 13.59 Lakh Crore · Press Information Bureau, Ministry of Commerce and Industry, 2025
  4. [4]Fast Tracking Freight in India: A Roadmap for Clean and Cost-Effective Goods Transport · NITI Aayog, RMI and RMI India, 2021
  5. [5]India Can Save Logistics Fuel Worth Rs 311 Lakh Crore between 2020 and 2050: Report · Press Information Bureau, NITI Aayog, 2021
  6. [6]Standard Operating Procedure (SOP) for Vehicle Location Tracking (VLT) registration and activation in VAHAN · Ministry of Road Transport and Highways, 2021
  7. [7]India ranks 38 out of 139 countries on World Bank's Logistics Performance Index Report 2023 · Press Information Bureau, Ministry of Commerce and Industry, 2024
  8. [8]Shri Piyush Goyal unveils Logistics Ease Across Different States (LEADS) 2024 Report · Press Information Bureau, Ministry of Commerce and Industry, 2025
  9. [9]Schemes to Minimise Post-Harvest Losses · Press Information Bureau, Ministry of Agriculture and Farmers Welfare, 2025
  10. [10]Rajya Sabha Unstarred Question No. 2145: Post Harvest Food Loss due to Rising Temperature · Ministry of Food Processing Industries, 2024
  11. [11]ULIP surpasses 100 crore API transactions · PIB, 2025
  12. [12]Average waiting time at toll plazas reduced from 734 to 47 seconds · All India Radio News
  13. [13]Digital Personal Data Protection Act, 2023 · MeitY, 2023
  14. [14]UPS routing system to save 10M gallons of fuel annually · Environment+Energy Leader, 2015
  15. [15]Digital Personal Data Protection Rules, 2025 · MeitY, 2025
  16. [16]Directions under section 70B(6) of the IT Act · CERT-In, 2022
  17. [17]PIB press release on CMVR Rule 125H (vehicle location tracking and emergency buttons in public service vehicles) · —
  18. [18]Guidelines on Geospatial Data · DST, 2021
  19. [19]Office Memorandum dated 28 November 2022 · DST, 2022
  20. [20]GI Cloud (MeghRaj) cloud services procurement guidelines · MeitY

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